Page 12 – DataToBiz

Yashica Chopra
April 19, 2024
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6 Top IT Staff Augmentation Companies in the USA

IT staff augmentation provides businesses with quick and direct access to expert teams without spending resources on complex recruiting processes. Here, we’ll discuss the top IT staff augmentation companies in the USA and learn more about the process. Business organizations in today’s world need to adapt quickly to changes and remain competitive to retain their market share. This requires constant development and growth, be it the adoption of new technology, employee training, or digital transformation. However, it is not feasible for businesses to spend all their resources on recruiting the best talent for the job. That’s why many organizations in the US and around the world opt for IT staffing solutions and hire expert teams for the short-term, mid-term, and long-term or as per their changing requirements. So, what is the market size of staff augmentation in the USA? Statistics show that the US IT staffing industry is expected to be $43.2 billion in 2024, with a 7% year-over-year growth rate. The global IT staff augmentation market is likely to reach $147.2 billion by 2028. In this blog, we’ll look at the top IT staffing augmentation Companies in the US and know more about staffing services. What are Staff Augmentation Companies? IT staff augmentation companies provide external and in-house teams to work with different businesses on their projects. They promote team agility and greater productivity, help with data-driven decision-making, and better efficiency without increasing costs or consuming extra resources. Staff Augmentation vs. Staffing Though sometimes, the terms staffing and staff augmentation are used interchangeably, they are, in fact, two different processes. Staffing refers to the process of working with a third party to hire temporary, part-time, full-time, and permanent employees for a business based on the job requirements. The staff augmentation process is where an external team is added to the existing workforce to empower and strengthen the business for completing a project or achieving a specific goal. The external team works alongside the internal IT teams to bridge the talent gap and offer the desired services. IT staff augmentation companies provide exclusively IT-related development and engineering teams to MSMEs, SMBs, and large enterprises. What is an Example of Staff Augmentation? IT staff augmentation services are a great example of the process. Let’s say your business needs a mobile app or a data-driven ML model. Instead of building an in-house team from scratch or hiring candidates through the lengthy selection process, you simply contact an IT staff augmentation company. The service provider will understand your needs and provide a dedicated team to work on your project. This team fills the talent gap in your organization and is a temporary addition to the employee base. Once the project is successfully completed and launched, the team will be dissolved. Moreover, the staff augmentation team can be on-premises, remote, or a combination of both (hybrid). What is another name for Staff Augmentation? Staff augmentation is sometimes called staffing augmentation or supplemental staffing. The staff augmentation company outsources expert teams based on your project requirements, budget, and time scale. The process is simpler and takes less time compared to full-scale recruitment. 6 Top IT Staff Augmentation Companies in the USA DataToBiz DataToBiz is a reputed and dependable digital transformation and staff augmentation company in the USA with certified data analysts, data engineers, AI and ML engineers, dedicated project managers, Tableau and Power BI developers, data scientists, etc. The company helps businesses from different industries find the best team for their projects, optimize resources, reduce costs, enhance quality, and achieve the desired results. As one of the top IT staff augmentation companies in the industry, DataToBiz promises transparency, flexibility, scalability, and cost-effective pricing, along with tailor-made services to suit client’s requirements. Whether it is end-to-end staffing or special skill acquisition, the company can easily cater to diverse demands and build an efficient team in 24-48 hours. DataToBiz provides short-term and long-term IT staff augmentation services and has a project satisfaction rate of over 97%. Trango Tech Trango Tech is a technology service provider and a staff augmentation firm that provides varied services. The company helps business convert their ideas into tangible assets by providing dedicated teams for each project. It has over 1500 employees around the globe and works with businesses from different regions. The company follows an all-hands-on approach to promote digital transformation and deliver results. Trango Tech has a pool of 100+ certified developers for IT staff augmentation services. It has an affordable pricing system and provides daily updates to clients to keep them in the loop at all times. The company builds remote teams by creating a checklist based on the client’s specifications. Then, it schedules interviews and hires the best talent. Finally, the trial period begins, where businesses can determine if the selected candidates are suitable for the job. Edvantis Edvantis is a software engineering company and one of the well-known IT staff augmentation companies in the US and central/ eastern Europe. It offers scalable IT solutions to promote innovation, flexibility, and operational efficiency in business organizations. The company can quickly fill the skill gap in an enterprise by building a dedicated remote team of experts. Edvantis has 18+ years of experience and ISO 27001:2013 certification. It provides organizations direct access to top talent with advanced skill sets. Businesses can work with a single partner instead of trying out multiple vendors and outsourcing service providers. From data science to artificial intelligence, software development, IT support, and legacy modernization, the company can handle different types of staff augmentation needs with ease. Seasia Infotech Seasia Infotech is a CMMI level 5 company offering IT outsourcing and staff augmentation services with a focus on innovation. It performs a feasibility analysis when taking up a project to provide the right kind of support, guidance, and talent to the clients. The company works with startups as well as Fortune 500 brands, helping them develop agile and scalable teams to build high-quality products and applications. Seasia emphasizes IP rights protection and data security. It also makes space for seamless and smooth collaboration between the existing employees and dedicated staff augmentations teams. The company offers on-demand

Yashica Chopra
April 16, 2024
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6 Top Digital Transformation Companies in USA

Digital transformation helps with streamlining data flow, increasing operational efficiency, enhancing customer experience, and boosting ROI by adopting digital technologies. Here, we’ll discuss the best digital transformation companies in the USA to partner with. Digital transformation is a continuous process of digitizing the data, processes, and systems of a business by adopting the latest technologies in the market. It is where enterprises adopt the data-driven model to make decisions using the insights derived from historical and real-time data. The global digital transformation market is expected to touch $1,009.8 billion by 2025 at a CAGR (compound annual growth rate) of 16.5%. Increasing operational efficiency is the top benefit of digital transformation, followed by customer satisfaction and new product development. As per Statista, the global spending on digital transformation will be $3.4 trillion by 2026. However, according to a report by Deloitte, 87% of companies think digital technologies will disrupt the industry, but only 44% are prepared to handle it effectively. Business enterprises can become ready to handle the disruptions by partnering with digital transformation service providers. Organizations from various industries can work with digital transformation consulting companies to streamline their processes and empower employees to become more productive. Here, we will look at the top digital transformation companies in the USA and learn more about how a business can digitally transform itself and increase revenue. What are the 4 Main Areas Digital Transformation Companies Work In? The four primary areas of digital transformation are as follows: Data and Analytics Data and Analytics (D&A) is how a business organization manages the collection, storage, and processing of data to make it available for analytics, which helps in making informed decisions and analyzing current market trends. Cloud Computing Cloud computing is the delivery of computing services, such as servers, databases, technologies, networks, analytics, intelligence, etc., on a cloud platform. The IT infrastructure is hosted and run on a large cloud rather than the premises. Customer Experience Customer experience (CX) is the core of an organization’s relationship with its customers. The various touchpoints in a customer’s end-to-end journey with the business are considered when measuring customer experience. Digital Mobility Digital mobility refers to the ease with which a business can shift its operations to the digital world without disrupting daily activities and avoiding mistakes. It deals with the scalability, flexibility, and agility of a business in adopting the latest technologies for effective decision-making. 6 Top Digital Transformation Companies in USA DataToBiz DataToBiz is the best digital transformation company, providing end-to-end solutions to SMBs, MSMEs, and large enterprises. The company empowers businesses to unlock the true potential of data and analytics by adopting the data-driven model for decision-making. It provides tailor-made services to implement scalable, agile, and flexible digital technologies in an enterprise. A few services offered by the company are as follows: DataToBiz has clients from various industries and has won several awards. It is a certified partner of Microsoft, AWS, and Google Cloud. The company has branches in different countries, including the USA, India, South Africa, and Saudi Arabia. It has also developed AI-based products, such as PrepAI, HirelakeAI, SensiblyAI, Virtual Tryon, and CV Platform. ScienceSoft ScienceSoft is a software development and digital transformation consulting company with a global presence. It works with enterprises from over 30 industries to modernize their legacy systems and streamline internal processes through automation. The company provides sustainable and innovative solutions to help businesses grow. Services offered by the company are listed below: ScienceSoft has clients from Fortune 500 organizations and believes in fostering long-term relationships. It has a flexible pricing model. The company is recognized by the International Association of Outsourcing Professionals® (IAOP) as one of the top 100 outsourcing service providers in 2022. IBM IBM is a well-known IT service provider with decades of experience in the industry. The company has developed many flagship products to help organizations implement digital transformation. It specializes in providing custom solutions to adopt next-gen AI technology and enterprise hybrid cloud infrastructure in establishments. The services offered by IBM are as follows: IBM facilitates collaboration between different teams to achieve business goals. From creating a business strategy to supporting services, the company partners with an organization throughout its digital transformation journey. The company also offers Quantum systems and services for large enterprises. Startups and small businesses may find IBM expensive. Dell Dell Technologies is one of the world’s leading tech and digital transformation companies, with clients from various countries. It is also a digital transformation expert and helps businesses transform their processes using extraordinary tools and technologies. The company offers high computing solutions, hybrid cloud, and other customized services to increase business sustainability, flexibility, and scalability. The company offers the below-listed services: Dell Technologies accelerates the digital transformation journey with modernized services and provides self-servicing options for businesses to strengthen their IT infrastructure on-premises and on the cloud. It works with small businesses and medium and large organizations while promoting a diverse and inclusive work culture. Accenture Accenture is a global tech company offering a range of IT solutions, including digital transformation services. It provides 360-degree value to a business by implementing the latest technologies and processes while ensuring sustainability and long-term growth. The company has over 783K employees around the world and has 8,300 patents (and pending patents) for various innovations in the industry. The company provides the following services: Accenture’s Industry X combines the company’s powerful digital capabilities with deep engineering, infrastructure, and manufacturing capabilities. It empowers businesses to use technologies such as AR/ VR, AI, 5G, cloud, etc., to revamp outdated systems and accelerate digital transformation. It helps organizations overcome challenges and achieve business goals. Cognizant Cognizant is a global IT service provider and digital transformation consultant to help enterprises reimagine their processes, transform experiences, and modernize technology. The company supports businesses to build and implement advanced technologies and stay responsive in today’s fast-paced world. It focuses on engineering intuition to promote business acceleration and growth. The company offers the following services: Cognizant has a presence in several industries, ranging from oil and gas to manufacturing, healthcare, consumer goods, IT, and many more.

Yashica Chopra
April 12, 2024
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15 Top Digital Transformation Technologies Important For 2024

Digital transformation is the need of the hour for organizations to effectively handle competition and customer preferences. Here, we’ll discuss the top digital transformation technologies that can accelerate business growth and increase revenue. In today’s world, SMBs, MSMEs, and large enterprises need to adapt to the changing conditions and be more agile, flexible, and scalable. This requires a change from traditional and fixed systems to modern-day data-driven processes. Digital transformation is essential for businesses to streamline operations using various advanced technologies. According to Polaris Market Research, the digital transformation market is worth $880.28 billion and is expected to touch $3.74 trillion by 2030 at a CAGR (compound annual growth rate) of 23.6%. Many companies are actively investing in digitally transforming their establishments. As per IDC, businesses have already invested $1.85 trillion a couple of years ago, and this amount will almost double by 2026. Furthermore, 74% of organizations say digital transformation is a priority. But what technology is used in digital transformation? How do digital transformation technologies work? Do you need more than one technology to digitally transform a business? How can digital transformation consultants help your business? What are the mistakes to avoid in the process of going digital? Let’s find out in this blog. What is Digital Transformation and Example? Digital transformation is a continuous process of integrating digital technology into different business areas. It changes how you look at business operations and provides valuable customer experience. However, digital transformation is not limited to adopting new technology. It also involves cultural changes where employees are an integral part of the process. Many leading brands have partnered with digital transformation companies to achieve their goals and stand apart from competitors. For example, Nike launched an online shopping app to provide direct access to its products. The company used data analytics to understand customer behavior and streamlined its marketing strategies. This led to increased sales, more customers, and greater reach in new markets. 15 Top Digital Transformation Technologies Digital transformation companies use a combination of technologies to implement the necessary changes in your business and streamline the processes across all levels. Artificial Intelligence Artificial intelligence is an integral part of the digital transformation tech stack. Be it AI-driven chatbots, virtual assistants, automated tools, or recommendation engines, many aspects of internal and external processes can be enhanced by adopting artificial intelligence tools. It can enhance decision-making, shorten the production cycle, and increase customer satisfaction. Machine Learning Machine learning is a subset of artificial intelligence that deals with computer algorithms. ML models are highly useful in data analytics. Since the algorithms are trained to use feedback to improve themselves, the models get stronger and more accurate over time. Digital transformation involves the use of ML models to derive real-time analytical reports to make data-driven decisions. Computer Vision Computer vision is also a part of artificial intelligence. It uses machine learning and neural networks to enable computers to process digital media like images and videos to derive meaningful insights. It is used in the healthcare sector to identify diseases in the earlier stages and provide better treatment. Computer vision is also useful for security and surveillance. Automation Automation is a popular digital transformation terminology and refers to the use of technology to achieve the desired outcomes using tools. Here, the human intervention is minimal to provide the initial input or take a corrective action (if necessary). The rest of the tasks will be handled by the computer/ software/ robot/ machine/ etc. For example, automation can ensure continuous production even when the supervisor is not on the site. Data Warehousing A data warehouse is one of the digital transformation technologies necessary to streamline data storage in an organization. It is a centralized data repository with structured and semi-structured data collected from numerous sources. The data warehouse can be on-premises or built on the cloud like Azure, AWS, or Google Cloud. It is integrated with data analytical tools and contains vast amounts of historical and present data. Mobile Technology Mobile technology makes it possible to set up hybrid and remote teams in an enterprise. Employees can work on the go and have access to the latest information and analytics from mobile devices. This ensures faster and more efficient decision-making in grabbing market opportunities. For example, a sales manager can check the reports using the mobile version of Power BI to contact a lead or close a B2B deal. Big Data and Real-Time Analytics Data is available in abundance and can be used to gain insights about historical patterns, trends, etc. Analytics is an integral part of digital transformation and enables you to make informed decisions in a quick time. Real-time analytics provides instant reports through personalized data visualization dashboards. Cloud Computing Cloud computing is a must-have digital transformation technology to make your IT systems more flexible, scalable, and cost-efficient. It promotes innovation and reduces the cost of maintenance while also providing greater access to advanced tools. Augmented Reality and Virtual Reality AR and VR digital transformation technologies offer immersive experiences for users and promote customer engagement. Mobile apps built using these technologies provide customers with a realistic virtual experience of the company’s offerings. AR/ VR technologies are also used in the educational sector to create immersive classrooms. Blockchain Blockchain is one of the popular digital transformation technologies providing greater transparency and data security for various transactions. It promotes decentralization while providing a means to track progress and maintain proper records. It is used in the finance and healthcare sectors. Internet of Things (IoT) The Internet of Things (IoT) promoted connectivity between machines and streamlined data sharing. IoT devices can be attached to equipment to act like sensors. They can also be used as wearables by workers to automatically collect and share data with other applications for analytics, alerts, and decision-making. 5G Technology 5G technology offers faster and more reliable connectivity to facilitate real-time data sharing and analytics. For example, IoT devices rely on 5G networks to instantly share the collected data with other applications. It minimizes the risk of latency.

Yashica Chopra
April 10, 2024
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Guide 101- Choosing the Right eCommerce Analytics Partner

The rapidly evolving eCommerce landscape demands businesses to be proactive in adopting the latest developments and technologies to become successful players in the competitive market. Here, we’ll discuss how to choose the right eCommerce analytics partner. The eCommerce industry has seen tremendous growth over the years. It is a fast-paced sector with fluctuating demands and customer preferences. Many people today like to place an order online rather than go out and buy the product in person. According to Statista, the average number of products per order has increased to 4.95. Moreover, the eMarketer platform predicts that groceries will become the largest eCommerce category in the US by 2026. The Asian countries are in no way lagging. The total revenue of the eCommerce and online retail sector in Asia was $1.7 trillion in 2023. With such clear statistics, it’s evident that eCommerce businesses should stay alert 24*7 to grab market opportunities and make proactive decisions. That’s where eCommerce analytics can help. But what is it, and how can you choose the right eCommerce analytics partner to help your business adopt data-driven technologies? Let’s find out below! What is the Analysis of eCommerce? eCommerce analytics refers to the process of collecting data from multiple internal and external sources to determine the trends, patterns, customer behavior, preferences, market opportunities, risks, future demands, etc., to plan your inventory and marketing strategies. It includes metrics like every stage of the customer journey, your business KPIs, competitor analysis, and many more. So, how to do eCommerce data analysis? eCommerce analytics requires large datasets, analytical models, and data visualization tools like Power BI, Tableau, artificial intelligence/ machine learning technologies, etc. It is a comprehensive and continuous process that streamlines workflows and delivers actionable insights in real-time to decision-makers. You can set up data analytics for eCommerce by partnering with a reliable service provider who manages the processes from end to end. What is an eCommerce Data Analyst? An eCommerce data analyst is a professional with expertise in data analytics, statistics, mathematics, and technology (computer skills). The person has many roles and responsibilities, such as the following: With such varied expectations, it is easier to work with an eCommerce analytics partner company that has an experienced team of data analysts and AI engineers to manage all tasks effectively and deliver the desired results. How to Choose the Right eCommerce Analytics Partner In today’s digital era, every retail and eCommerce business faces intense competition from others. You are at risk of being outdated if you don’t quickly adapt to the changing conditions and present the best side to your customers. But how will you know what’s trending and what will trend in the coming months? How can you track the fluctuating demands and changing customer requirements? eCommerce analytics is the key. By hiring a worthy partner, you can use accurate data-driven insights to make decisions and boost your business. From supplier identification to inventory management, marketing, distribution, and transportation, you can streamline every aspect of your business with the help of an eCommerce analytics partner. Here’s how to find the right solution partner for your eCommerce business. Strategic Planning and Consulting Strategy is the core of any business. To be a successful eCommerce business, you should have a robust strategy for adopting analytical models, marketing and promoting your business, increasing customer satisfaction, achieving your goals, etc. Your eCommerce analytics partner should have in-depth knowledge and know-how to create a feasible and future-proof strategy to digitally transform your business and streamline it at all levels. Industry-Wide Experience Experience is definitely an important factor as it hints at the company’s ability to understand the nuances of the industry. The trends, developments, requirements, market conditions, etc., of every sector are different. The eCommerce industry is complex due to the extensive number of parties involved. Working with an eCommerce analytics partner who has previously delivered projects from businesses from the same industry provides an assurance that it can handle your specifications and show the results. Technology and Innovation Data analytics involves various technologies and tools. The same can be said for eCommerce. In such instances, you need a partner with access to the best and latest eCommerce analytics tools. The service provider should know which tools are most suitable for your long-term goals and how to integrate them with your systems. Similarly, the company should give prominence to innovation and stay up to date about the new developments. This will give your eCommerce business an edge over competitors and help you enter new markets with greater confidence. Flexible Managed Services The size of your eCommerce business doesn’t matter, but the products and services you provide will definitely impact your brand reputation and customer experience. To run a digital business successfully, you need technology that works 24*7*365. While glitches and downtime cannot be avoided, you can minimize them by having a trusted partner to provide managed IT services. Your eCommerce analytics partner can be your managed service provider, thus ensuring everything goes on smoothly. Credentials and Certifications Certifications denote expertise. An eCommerce analytics company should have proficiency in handling large volumes of data (on-premises and cloud), building data pipelines, and choosing the best third-party app integrations. A company that is a certified partner of Microsoft, Google, AWS, etc., will have the technological know-how and direct access to advanced tools provided by the industry giants. This will make things easier for your business. Diverse Service Capabilities eCommerce analytics trends show that customer-centric businesses have greater revenue and better reputation. A modern-day customer uses different channels to discover your business. A website is no longer enough. You will also need to manage mobile apps, social media sales, upload your products on third-party platforms, and so on. But how do you track your inventory and sales? This can be streamlined by an efficient eCommerce analytics provider while providing real-time reports about the best ways to enhance your customer journey. Data Security and Support When adopting a data-driven model, you should also make sure that all the necessary security measures are followed to ensure that datasets

Yashica Chopra
April 09, 2024
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Traditional Analytics vs. Manufacturing Analytics – Which One to Go for in Industry 4.0

Industry 4.0 involves the digital transformation of enterprises and promotes data-driven decision-making in the manufacturing sector. Here, we’ll discuss the differences between traditional analytics and manufacturing analytics and which is the best choice in Industry 4.0. Industry 4.0, or the fourth industrial revolution, is a hot topic in the sector. Many SMEs and large enterprises have been exploring the advantages of adopting data-driven models, big data analytics, and AI technologies to streamline manufacturing, distribution, marketing, and customer service processes. According to a report by Emergen Research, the global Industry 4.0 market is estimated to touch $279.75 billion by 2028 at a CAGR of 16.3%. Manufacturers from different industries, like automotive, pharma, electronics, FMCG, etc., are investing in IoT (Internet of Things) devices, AI manufacturing analytics solutions, robotics, and other advanced technologies. But what exactly is manufacturing analytics? How different is it from traditional analytics? Which one should you choose when digitally transforming your manufacturing business? What are the benefits of manufacturing analytics? Let’s find out in this blog! How Analytics is Used in the Manufacturing Industry? Before we determine whether traditional analytics or manufacturing analytics is right for your enterprise, let’s first understand which analytics is used in the manufacturing industry. A large amount of data is generated every day across different departments in a manufacturing business. This data can be used to determine historical patterns and future trends to make better and faster decisions. Data analytics in manufacturing helps streamline various internal processes to reduce costs, decrease wastage, increase revenue, and amplify profits. What is Traditional Manufacturing Analytics? Analytics has long been a part of the industry. However, as the name suggests, traditional analytics was done with paper ledgers, abacus, etc. As technology developed, calculators, Excel, Lotus, etc., were used. Statistical models like regression analysis, time series analysis, hypothesis testing, and many more helped businesses analyze historical data to identify patterns and trends. The process, though simple, was lengthy, time-consuming, and had a high margin of human error. What is Manufacturing Analytics? Manufacturing analytics, on the other hand, is a new process that uses the latest data analytical models to deliver accurate, faster, and real-time insights for decision-making. The manufacturing analytics market size was $12.5 billion in 2023 and is expected to reach $29.42 billion by 2030 with a CAGR (compound annual growth rate) of 17.14%. Manufacturing analytics models can be built on-premises or hosted on the cloud through SaaS (Software as a Service) solutions. Manufacturing analytics companies build the necessary data pipelines and third-party connections to streamline workflow in the enterprise. This allows employees to access data and insights in real time and make efficient decisions. It increases transparency, visibility, and flexibility throughout the manufacturing unit. What is the Difference Between Traditional Analytics and AI Analytics? The development of artificial intelligence and machine learning models has brought many changes in the global market. Data analytics is no longer limited to Excel or pivot tables. Today’s manufacturing analytics solutions include powerful AI models that can process large amounts of data in real time and provide near-immediate insights in the form of graphical reports and data visualizations. Let’s consider traditional analytics vs. manufacturing analytics to determine which is the best choice for Industry 4.0. Static vs. Dynamic Traditional analytics is static, while modern AI manufacturing analytics is dynamic. That’s because traditional analytics rely on existing visualizations and predefined questions. If you enter a new question, it requires additional time and resources to find the answer. Moreover, the traditional analytics dashboards don’t automatically update themselves when new data is added. AI manufacturing analytics is dynamic as it comes with a conversational interface. When a query is provided by the employee, the model uses some computing power to provide the answer in a few minutes. Additionally, the dashboards can read and provide the answers in natural language using NLP (natural language processing) technologies. It is similar to using a voice assistant like Siri or Alexa. Efficiency Efficiency is another major differentiating factor between traditional and AI manufacturing analytics solutions. While the former typically provides answers to ‘what’, the latter can also offer insights about ‘why’ and ‘how’. For example, you can not only ask what the sales volume is but also find out why it is less and how it can be increased to achieve your targets. Furthermore, the process involved in traditional analytics makes it difficult for employees when a deadline is looming. It doesn’t offer the required flexibility or scalability to handle varying data volumes. This is not a concern with AI analytics. Manufacturing analytics set up using AI models work seamlessly with any amount of data and can be scaled to suit your business needs. Accuracy The accuracy of the derived insights can have a huge impact on your decisions. That’s why manufacturers who rely on traditional analytics go with a gut feeling or opt for guesswork. The margin of error is high (even a minute mistake in data entry can lead to a different result), which makes them wary of trusting the insights completely. However, manufacturing data analytics is solely driven by data. There’s no need for a hypothesis, influenced by the individual’s viewpoint and perspective. Artificial intelligence doesn’t ignore the elements a human analyst may miss. It can also delve deeper into the datasets to identify patterns that cannot be seen by humans. As long as your data is clean, the insights will be accurate and reliable. Moreover, manufacturing analytics service providers offer data engineering solutions to collect, clean, and store data, which reduces the risk of using low-quality data for analytics. Time There’s an old saying – ‘time is money’. This is applicable even more in today’s world, where everyone wants immediate results. Traditional data analytics is time-consuming and requires a lot of manual effort. A team of data entry employees, data analysts, etc., have to constantly work to add new data to the database, clean it, sort it, and then analyze it. Fortunately, manufacturing analytics doesn’t require as much effort, even though the core idea is the same. Data collection is automated and can be set to occur as frequently as you want. Modern AI analytical tools can process unstructured and semi-structured data with ease and

Kavika Roy
April 08, 2024
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AI Product Development For Emerging Startups

Struggling to stand out in the crowded products and app market? AI product development can be your helping hand. This approach leverages artificial intelligence to create smarter, more engaging products that users love and emerge as market success. Emerging technologies like artificial intelligence (AI) are transforming how companies operate, and those who leverage AI first stand to gain a significant edge in the marketplace. But how can you leverage AI to create groundbreaking products? The answer lies in AI product development. This strategic approach involves integrating AI capabilities into your product offerings, creating intelligent solutions that address real-world problems. A study by McKinsey Global Institute revealed that AI could generate an additional $13 trillion in global economic activity by 2030. Don’t you think, your enterprise should be ready to be a part of this economic boom? Building AI-powered products may seem complex, but when experts jump in, it’s not that complex! AI product development agencies specialize in helping startups like yours navigate the AI Product development journey, phase by phase offering these: AI Consulting Services: Gain strategic guidance on how to best integrate AI into your product roadmap. AI Product Strategy: Craft a winning plan that outlines your AI product’s goals, functionalities, and target market. AI product development team: Access a team of skilled engineers and data engineers(on a contractual basis or full-time) to bring your vision to life. AI product development tools: Utilize top-of-the-edge platforms and resources to streamline your AI product strategy in real-time. The video below provides a better understanding of the AI product development process. It showcases the expertise of DataToBiz, a leader in affordable AI product development. In Conclusion With so many AI product development service providers available, choosing the right partner is crucial. Look for an agency with a strong track record in your specific industry and experience in tackling common AI product development challenges. They’ll help you navigate the entire process, from defining your AI product development plan to ensuring seamless integration and ongoing maintenance. So, to get the process right for your enterprise, get in touch with an AI development agency today and see how AI can revolutionize your product line and stage it up for successful market launch and sustenance. Fact checked by –Akansha Rani ~ Content Creator & Copy Writer

Manpreet Kaur
April 02, 2024
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10 Ways AI Consulting Can Future Proof Your US Enterprise

AI consulting is a game-changer for US businesses, with nearly 77% jumping on board around the world. It’s making things smoother, smarter, and safer, boosting creativity and keeping companies on the growth track. Did you know that a whopping 42% of companies are already dipping their toes into the waters of AI? And get this – over 50% are gearing up to dive right in and incorporate AI technologies in 2024! That means a staggering 77% of companies are either already using AI or seriously considering it. AI is not just the future, it’s happening now, and businesses are racing to stay ahead of the curve. The push for the AI implementation process to embrace digital change can’t be overstated. US enterprises must go beyond just thinking about this concept and start using new technologies and methods that meet the changing demands of customers. Taking an active approach to digital change, especially with the help of artificial intelligence consulting services, distinguishes progressive companies. This makes them more attractive to customers looking for fresh and tailored experiences. Why Does Your Business Need AI Integration? A business’s prosperity is deeply rooted in the satisfaction of its clients. This entails a profound understanding of the customer from the get-go, positioning oneself ahead of competitors all vying for the same lucrative opportunities where consumer spending is most generous. Amidst these considerations, the pivotal role of digital transformation becomes undeniable for businesses aiming to flourish and sustain their operations. This has led to a heightened demand for digital transformation consulting. Within this realm, artificial intelligence consulting services are broadening their impact, offering a plethora of remarkable solutions across various domains. 10 Ways Artificial Intelligence Consulting Services Can Enhance Digital Success Artificial intelligence consulting services provide numerous advantages for achieving digital success. By streamlining operations with automation and utilizing predictive analytics for well-informed decisions, businesses can gain a competitive edge, foster innovation, and ensure enduring growth in today’s dynamic market environment. Here are 10 ways through which artificial intelligence services and solutions can amplify digital success for your organization: 1. Better Customer Insights with Artificial Intelligence With AI, organizations delve deep into customer personas, going beyond surface-level similarities to truly understand who their customers are. This profound understanding enables the development of precise persona-based marketing strategies, ensuring customer loyalty and satisfaction from the outset of digital transformation projects. AI empowers companies to anticipate potential issues and barriers, allowing them to address challenges proactively. With the right applied intelligence solutions in place, organizations can navigate their digital transformation journey seamlessly, without encountering any obstacles. Artificial intelligence consulting services emphasize the importance of AI in ensuring a smooth transition, highlighting the role of tools like Power BI. By embracing AI-driven insights, businesses pave the way for enhanced customer experiences and sustained success in the competitive landscape. 2. Forecasting Consumer Trends and Behaviors AI-driven algorithms are now enabling the creation of models that can predict customer behavior and preferences. These models, known as propensity models, use predictive analytics and machine learning to forecast the likelihood that a person will buy certain products. This prediction is based on their past interactions with marketing efforts from various companies, guiding them towards actions like buying more products or different ones. Such models have been incredibly successful in keeping customers and reducing the number who leave because they not only help maintain existing customers but also attract new ones through improved targeting. By understanding each individual’s personality, communications can be more tailored and relevant. AI consulting companies can help enhance the overall effectiveness of marketing strategies. 3. Data-Driven Strategies for Marketing/Campaign Success AI implementation in business is a game changer for marketing in various ways. This approach helps in understanding what customers want and predicting what they will do next, all done by machines without needing people to step in. When a company that focuses on digital changes uses AI to dig deeper into data, it makes sure to find the most useful and precise information. This technology is a game-changer for companies like Facebook & YouTube, which depend on advertisements. It gives them better ways to reach the right people, leading to more efficient spending on things like buying ads or answering customer questions. These artificial intelligence implementation examples exhibit a shift to more efficiency, all thanks to AI. 4. Enhanced Unified Security Measures AI is transforming the way organizations enhance their security measures as part of their digital growth plans. This shift is crucial because the dangers to individual privacy and personal data are increasing. Most strategies for digital growth focus on improving software and workflows rather than prioritizing the safety of people’s information. This shift in focus is driven not just by the growing needs of businesses. It also stems from the heightened awareness and concern among individuals, shaken by numerous well-publicized data breaches. These incidents have exposed sensitive data on the internet, often without the victims being aware until they read about it in news articles. Here, an AI consulting company can help you establish more secure systems. 5. Integrated Customer Support The future of customer support is being driven by AI technology. According to a study by Gartner, businesses that incorporate AI into their support centers could see a 25% boost in efficiency. This improvement also transforms the way customers receive help. This is particularly relevant in situations where data might be scarce or not fully leveraged due to the ongoing shift towards digital methods in both online shops and physical stores. In such cases, people can receive assistance remotely, which enriches the understanding of their needs and allows for more personalized service. In major world economies like the USA, the UK, and India, artificial intelligence consulting services companies focusing on digital innovation are exploring how AI can enhance customer service across various sectors including AI implementation in healthcare and implementation of AI in agriculture. They are doing this by monitoring customer interests and employing chatbots for communication. 6. Improving Your Decision-Making Skills In many companies, choosing

Yashica Chopra
March 30, 2024
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Guide 101- Choosing the Right Supply Chain Analytics Partner

The increasing complexity of supply chains in today’s world makes it even more necessary to adopt data-driven models for efficient decision-making. Here, we’ll discuss the role of a supply chain analytics partner and how to choose the right one for your business. The supply chain is one of the top priorities for a business. Disruptions can not only affect your supply chain but also lead to loss of revenue and diminished customer satisfaction. It’s 2024, and the right time to revamp your supply chain using data analytics, artificial intelligence, and automation. According to a PwC survey in 2023, almost 86% of businesses agreed that investing in technology is necessary to handle supply chain risks. Moreover, a report by Deloitte shows that around 70% of emissions come from the supply chain. This can be tackled by making your supply chain sustainable and transparent through digitalization and technology adoption. Using analytics can strengthen your supply chain management processes. Businesses can work with a reliable supply chain analytics partner to overcome the challenges and achieve long-term goals. But how would you identify and select the right supply chain partner? What sets the best apart from the rest? How should you choose the right partner to digitally transform your supply chain? Let’s find out in this blog. What are the 4 Types of Supply Chain Analytics? Supply chain analytics is the process of collecting, storing, and analyzing large datasets to derive meaningful and actionable insights. These insights are presented as data visualizations through graphical reports and used to make faster and better decisions. When you choose a supply chain analytics partner, make sure they offer the following analytical solutions. Descriptive Analytics Descriptive analytics involves KPIs (key performance indicators) and historical data to describe the various supply chain events of the past. Predictive Analytics Predictive analytics for the supply chain is where real-time data is collected from different sources and analyzed to determine the possible future outcomes, trends, customer demands, etc., that will affect the business. Prescriptive Analytics Prescriptive analytics plays a vital role in decision-making as it provides insights into the areas for improvement and the best way forward to tackle a situation while minimizing risk. Cognitive Analytics Cognitive analytics and diagnostic analytics are similar in a way. Both deal with determining the root cause of a problem and finding a comprehensive and long-term solution for it. It helps take appropriate steps to resolve supply chain challenges. What to Look for in a Supply Chain Analytics Partner The right supply chain analytics partner can handle the various processes from end to end and offer continuous support to enhance your supply chain across all levels. The service provider should take care of everything from strategy formation to deploying analytical models and creating adequate supply chain risk management policies. So, what are the criteria for a supply chain partner? How do you identify the best analytical company to become your long-term partner? Here’s how. Types of Services A supply chain analytics partner has to take up many roles and responsibilities. It has to provide a robust strategy to digitally transform the supply chain. It should help identify issues in planning and designing a reliable analytics model to integrate with the existing business systems. The partner should also set up custom supply chain dashboards to deliver on-demand analytics and insights in real-time. Similarly, it should offer embedded analytics and business intelligence visualizations based on your requirements. Most importantly, you should have the flexibility to choose the services you want – consulting, end-to-end, customized, or rapid analytics as per your needs. Access to Technology Technology is another essential aspect to consider when choosing a supply chain analytics partner. For example, IoT (Internet of Things) devices and RFID tags can make your supply chain more efficient. Does the company offer artificial intelligence and machine learning-based analytical models? Can the service provider use AI to automate your supply chain tasks? Does it have the necessary tools to deploy transportation management systems (TMS) for real-time tracking and alerts? Can you invest in robotics for warehouse management? Domain and Industry Expertise An increase in demand for supply chain analytics has led to more companies offering similar services. However, not every company has a team of expert analytics, AI engineers, and data scientists to cater to your diverse and complex requirements. The supply chain analytics partner should have the necessary expertise in using the latest technology as well as understanding the minute aspects of the supply chain industry. Additionally, the company should have good knowledge about your niche. This will ensure that the company knows your competitors, challenges, market trends, opportunities, risks, customers, etc., to create solutions that align these aspects with your business goals. Experience and Project Portfolio The supply chain analytics partner should have the necessary experience in delivering complex supply chain projects to different clients. Ask for their project portfolio to determine if the company can handle your specifications. For example, the analytics partner should help you achieve your business goals like supply chain cost reduction, inventory optimization, increased sales and revenue, minimized losses, and enhanced customer satisfaction. An ABI research study predicts that over 4 million robots will be used in around 50,000 warehouses around the globe by 2025. So, if you want to use robots in your warehouse, your supply chain analytics partner should help you set up the necessary automation and workflows. Communication and Transparency Another essential aspect to consider is how well the supply chain analytics company can communicate and interact with your teams. Is it easy to approach the analytics working on your project? Do they send regular updates? Do they explain the concepts in simple terms and answer your questions satisfactorily? Are they transparent about what they offer and what they don’t? Do you have a clear idea about the pricing? Have you had to pay for hidden charges at the last minute? A worthy supply chain partner will keep things simple and uncomplicated. You will know the pricing and services offered in advance. There will be little to no confusion. Maintenance and Support Your supply chain already has numerous vendors,

Yashica Chopra
March 29, 2024
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Guide 101 – Choosing the Right Manufacturing Analytics Solutions Partner

Every manufacturer can harness the full potential of business data by implementing data-driven models for decision-making. Here, we’ll discuss the need for data analytics in manufacturing and the factors to consider when choosing the right manufacturing analytics solutions partner. Manufacturing analytics is the process of using operational and supply chain data, advanced technologies, and statistics to identify patterns and trends, forecast future demand, and derive meaningful insights for day-to-day decision-making. According to GII Global Information, the big data analytics in the manufacturing industry market size is expected to be $8.93 billion in 2024 and predicted to grow at a CAGR (compound annual growth rate) of 21.60% to touch $23.72 billion by 2029. The same report mentions a McKinsey study, which showed that a data-driven business is twenty-three times more likely to attract clients and nineteen times more likely to be profitable than its competitors that don’t use analytics. A recent report by Deloitte suggested that 86% of the respondents (manufacturing executives) believe that smart solutions will drive competitiveness in the coming five years. In such instances, an enterprise from the sector needs to invest in manufacturing analytics solutions and participate in Industry 4.0. This is best achieved by partnering with an analytical solution provider and digitally transforming the business processes under expert guidance. But how would you identify and select the right supply chain partner? In this blog, we’ll discuss the guide to choosing the right manufacturing analytics solutions partner and the role of analytics in the industry. Choosing the Right Manufacturing Analytics Solutions Partner Digital transformation in manufacturing is a continuous and long-term process that requires regular monitoring to adopt the latest technologies and achieve the expected results. A manufacturing analytics solutions partner provides end-to-end services to build, develop, implement, customize, integrate, and maintain the data models. However, not all service providers are suitable for your business. Choosing the right analytics partner is crucial to be successful in your business. Here are a few factors to consider when hiring a manufacturing analytics solutions partner in the industry. Experience in Data Analytics and AI The increasing demand for data analytics has resulted in many new service providers entering the market. However, individual experience is necessary when building AI and ML analytical models for a manufacturing enterprise. Enquire the details about the team members’ experience in the field before hiring a manufacturing analytics solutions partner. Knowledge and Expertise in Industrial Processes Another important aspect to consider is whether the company has knowledge of your industry (manufacturing) and niche based on the products you produce. This is to ensure that the manufacturing analytics solutions partner understands the industry-wide practices, international regulations, etc. when customizing the analytical models and setting up the dashboards. Timely Delivery and Project Completion Manufacturing analytics implementation is a time-consuming process. The service provider has to build data pipelines, streamline workflows, automate processes, customize dashboards, and set up third-party integrations. However, you want a partner who can complete the project as per the agreed-upon schedule and deliver the insights to your employees. Compatibility in Vision and Execution Compatibility in vision is another important factor. The service provider may have the necessary experience and technology but if they cannot understand your business vision or don’t align with your processes, it can create clashes and discord between teams. Choose a manufacturing analytics solutions partner who is flexible enough to accommodate your requirements and encourage better collaborations. End-to-End Tailor-made Solutions Does the company offer a complete scale of solutions to tackle end-to-end changes in your business processes? Partnering with an end-to-end service provider will help ensure that the entire project will be handled by a single company. You don’t have to work simultaneously with different analytical and AI teams to transform your manufacturing processes digitally. Furthermore, you can have your own manufacturing analytics platform developed by the company. Agility, Flexibility, and Scalability Flexibility and scalability are necessary for enterprises to thrive in the ever-changing market conditions. That means your service-providing partner should be equally flexible and scalable to accommodate your dynamic requirements. This will empower you to take proactive measures to grab more opportunities. Meaningful and Accurate Real-Time Insights Real-time insights help make quick decisions. However, the insights have to be accurate to minimize the risk of incorrect decisions. The analytics service provider should prepare your data and improve its quality to provide meaningful insights. Partner with a manufacturing analytics solutions partner who also takes care of data engineering and management. Long-Term Maintenance and Support Cloud-based manufacturing analytics are a part of digitally transforming your enterprise. The insights and data visualizations can be accessed by your employees through the personalized dashboards. However, the systems need regular monitoring and periodic updates to work without glitches. Choose a service provider who can become a long-term maintenance and support partner. Pricing and Transparency Finally, the pricing models offered by the company should also be considered. A reliable manufacturing analytics solutions partner will be transparent about the prices and state the additional costs upfront. Moreover, you should have the freedom to choose a pricing model based on your project specifications. How Data Analytics is Used in the Manufacturing Industry Data analytics in the manufacturing industry combines smart manufacturing solutions like data engineering, IoT (Internet of Things) devices, predictive analytics, big data analytics, data visualization, machine learning, edge computing, automation, etc., to enable smarter, agile, and scalable factories with greater productivity. So, what insights you can provide with analytics to the manufacturing industry? Here are a few: Production Management The insights from manufacturing analytics can help your factory teams adjust production quantities in real time based on the stock left in the warehouse, the stock at the factory unit, and the market demand for the product. Additionally, you can identify the root cause for low quality in products, product failures, etc. Industrial IoT (IIoT) analytics helps with production and quality management. Supply Chain Management The supply chain is crucial for a manufacturing company. In times when disruptions can lead to major losses, it is essential to streamline the various elements of the supply chain and eliminate unwanted steps. Be it order management, supplier management, demand forecasting, setting up early warning

Ishan Vyas
March 27, 2024
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Power of AI and ML Helps in Elevating Data Quality

AI and ML redefine data quality by dynamically synergizing through automation, predictive analysis & seamless integration. Companies adopting these advancements benefit from informed decisions & competitive advantage in today’s data-driven landscape. Here, we’ll discuss how AI & ML helps in Elevating Data Quality. Introduction In today’s data-driven landscape, the quality of information is critical to determining your business success. The bigger your data set is, the more complex they are to utilize. Here comes the importance of ensuring data accuracy, consistency, and reliability. With advancements in science and technology, Artificial Intelligence (AI) and Machine Learning (ML) have become pivotal allies in the pursuit of data excellence. Using ML & AI applications, an organization’s data science and analytics capabilities are improved to make well-informed decisions faster involving complex facts and figures. According to Gartner, enterprises on average lose 12.9 million $ annually due to poor data quality. This shows the significance of empowering data excellence. This blog explores how AI and ML are revolutionizing data quality, to enable companies to stay adaptable and perform predictive analysis to formulate intelligent decisions. Listed below are a few ways to understand how these two immersive technologies can maintain data hygiene to avail purposeful and profitable results. Automated Data Cleansing and Validation for Unrivaled Accuracy AI and ML have revolutionized data cleansing and validation processes via automated tools and intelligent technologies. Gone are those days when decision-makers suffered due to process delays and human-induced errors. With the advent of smart algorithms identifying and rectifying data discrepancies, data cleaning has become more efficient. However, for specific use cases, traditional data cleaning methods might not be sufficient, especially when dealing with limited datasets. This is where Generative AI comes into play. Generative AI techniques can be used to artificially generate synthetic data that resembles real data, addressing the limitations of small datasets. This can be particularly beneficial for training machine learning models that require a significant amount of data to perform optimally. By leveraging Generative AI for data augmentation, organizations can enhance the effectiveness of their data cleansing and validation processes. Predictive Data Quality Analysis to Anticipate Challenges Before They Arise Advanced ML models forecast potential data quality issues and suggest preemptive actions. According to Gartner, 70% of organizations by 2025 will focus on small and wide data making analytics more significant and reducing data feed for AI. Predictive analytics can detect and prevent defects early, reduce rework and technical debt, automate testing, prioritize tasks, minimize testing cycles, optimize test coverage, enable faster feedback loops, and enable data-driven decision-making. It also has many benefits in facilitating agile development and DevOps practices, The rising impact of AI in Software Development extends beyond automation. In the current competitive business environment, analyzing predictive data quality has become a game-changer. Autonomous Data Monitoring As a Proactive Approach to Data Quality A perfect blend of AI and ML ensures autonomous data quality monitoring to eliminate unexpected data issues. AI-driven tools continuously analyze data streams and flag anomalies as they occur. Maintaining data quality improves decision-making. Considering this in mind, companies are focusing on applying AI and ML techniques to establish data excellence uninterruptedly. Seamless Data Linkage and Integration to Unlock Insights from Silos Data integration has long been a challenge, leading to fragmented information and suboptimal insights. In the current era of data science and business intelligence, AI and ML technologies facilitate seamless data linkage across various sources. With advanced and improved data integration practices, key stakeholders can avail effective insights to devise futuristic strategies. Eradicating Bias For Ethical and Fair Decision-making AI and ML have made significant strides in addressing bias in data. Algorithms presently are designed to detect and mitigate bias from data sources. Market studies have shown that investments in AI and ML techniques have increased and are enabling enterprises to develop ethical decisions. Improving data quality for fair decision-making is crucial in an era where 70% of IT decision-makers do not rely on the validity of the available data. Conclusion As we embrace the potential of AI and ML in 2024, the impact on data quality is undeniable. Automated data entry and ingestion powered by AI facilitates identifying missing fields for necessary data inputs. With intelligent data capture techniques, maintaining validity is ensured. That’s exactly where you might need a reliable AI & ML development company to make sure requirements are met perfectly. Gartner indicates the transformative effects of AI-powered data cleansing, predictive analysis, real-time monitoring, data integration, and bias eradication. With these technologies at the helm, businesses can make better-informed decisions, uncover hidden opportunities, and unlock the true potential of their data. Fact checked by –Akansha Rani ~ Content Creator & Copy Writer