Big Data Analytics Use Cases For Industry 4.0 Industry 4.0 - What To Expect The first three industrial revolutions were a result of mechanization, electricity and IT, respectively. While the mechanization of the textile industry in the 18th century started the first industrial revolution, the mass production of goods due to electricity paved the way
How Supply Chain Leaders Can Ensure Product Availability Amid The New NormalThe rapid spread of COVID-19 has forced governments to institute stay-at-home and social distancing rules and order complete lockdowns and store closures. These have not only disrupted businesses but have also halted many of them for months. Consequently, the resulting revenue drop and labor
7 Key Considerations For Scaling AI In Your EnterpriseCIOs and other C-Level executives are under tremendous pressure to adopt and scale AI to drive organization-wide efficiencies and gain competitive advantage. They understand that the failure to scale AI can stagnate their growth and put them out of business in the coming years.In spite of the
8 Major Challenges faced by Data ScientistsOrganizations across the globe are looking to organize, process and unlock the value of the torrential amounts of data they generate and transform them into actionable and high value business insights. Hence, hiring data scientists - highly skilled professional data science experts, has become super critical. Today, there is
How Augmented Data Management Improves The Productivity of Your Data Science TeamAccording to a Forbes survey, 8 in 10 data scientists spend most of their time collecting and preparing data. If your data science team is bogged down with the tedious tasks of preparing data, it’s hard for them to focus on the strategic priorities.
Creating A Digital Supply Chain For The New Normal Supply Chain leaders across enterprises were already dealing with various issues in trying to do their best to achieve their service levels such as End to End Supply Chain Visibility. Lack of Data in some cases to analyses why a particular SKU went out of stock.