Whether in the form of Robotic Process Automation, chatbots, or some other type of digital assistants, the presence of intelligent bots is substantially increasing across the data ecosystem … in more ways than one. The diversification of the number of tasks these bots can perform is multiplying, as is the intrinsic complexity of those jobs, which unambiguously benefits … [Read more...] about 2022 Trends in Intelligent Bots: Knowledge Worker Empowerment
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Video Highlights: Time Series Analysis with Pandas
The topic “Time Series Analysis with Pandas” was presented by Joshua Malina, former Data Scientist at American Express, held at the 2019 Data Science Salon event in Miami. In his talk, Joshua explains how American Express utilizes Pandas for the analysis and manipulation of big amounts of time series data in an easy, flexible and powerful way. If the data obtained is not … [Read more...] about Video Highlights: Time Series Analysis with Pandas
How to Develop a Long-Term AIOps Strategy
Artificial intelligence for IT operations, or AIOps, has increased in demand over the last few years as enterprise IT teams battle complex data coming into their systems. Not only does AIOps automate mundane tasks, but it processes vast amounts of data. Networks, systems, and applications pump out tremendous amounts of data that has to be analyzed for patterns and correlation. … [Read more...] about How to Develop a Long-Term AIOps Strategy
Teams and Clubs Measure Everything: How Can They Consolidate Their Data?
In this special guest feature, Raf Keustermans, CEO of Sportlight Technology, discusses how professional sports teams around the world measure everything — individual player performance, team performance, how much an athlete is training, player speed and endurance during a game, injuries sustained, goals scored, assists made, passes blocked and much more. Strong data collection … [Read more...] about Teams and Clubs Measure Everything: How Can They Consolidate Their Data?
Decentralized Storage Removes the Headache from Data Backups
When it comes to maintaining SLAs, monitoring the health of complex application environments and being able to identify, diagnose and respond to issues as they arise, DevOps and data science teams have a challenging task of predicting the universe of possible problems they might encounter, types of data they need, and the amount of time for which they’ll need it. Compounding … [Read more...] about Decentralized Storage Removes the Headache from Data Backups
Rethinking the Data Analytics Paradigm to Unlock Real Data Value
The pandemic has rapidly accelerated three important technology trends: 1. cloud migrations, 2. security related to those migrations and 3. data-driven decision making and customer experiences. Let’s focus on the third of those initiatives because, of the three, serious progress in the category of data analytics has been extremely slow. In the world of analytics … [Read more...] about Rethinking the Data Analytics Paradigm to Unlock Real Data Value
insideBIGDATA Latest News – 12/28/2021
In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to … [Read more...] about insideBIGDATA Latest News – 12/28/2021
Looking Beyond the Incumbent: Setting New Goals for Machine Learning & Artificial Intelligence for 2022
Machine learning and artificial intelligence have given us great things in the last several years. Along with recommending the next TV show to binge or new song to listen to, machine learning and artificial intelligence have improved safety in energy, financial services and transportation, as well as helped pharmaceuticals like Johnson & Johnson speed COVID-19 vaccine … [Read more...] about Looking Beyond the Incumbent: Setting New Goals for Machine Learning & Artificial Intelligence for 2022
Video Highlights: ML System Design for Continuous Experimentation
While ML model development is a challenging process, the management of these models becomes even more complex once they’re in production. Shifting data distributions, upstream pipeline failures, and model predictions impacting the very data set they’re trained on can create thorny feedback loops between development and production. In the presentation below, “ML System Design … [Read more...] about Video Highlights: ML System Design for Continuous Experimentation
Dark Data is Only the Tip of the Iceberg
Dark data, a term coined by Gartner, is data that is generated or collected by businesses as part of their routine processes without being used for analysis or other purposes. From the budgetary perspective, dark data, whether on a physical or digital carrier, is a clear-cut liability as long as it remains dark. Businesses pay for its storage and get no returns for doing … [Read more...] about Dark Data is Only the Tip of the Iceberg