• Why You Should Add DevOps Metrics to Your Data Fabric

    In this contributed article, Brett Stevens is the co-founder of Software.com, a DevOps metrics platform that helps teams measure and improve their organization’s DevOps performance, discusses how making DevOps data more visible and easily accessible helps teams improve their software delivery and gives them an edge over their competitors.

Featured Stories

  • insideBIGDATA Latest News – 8/10/2022

    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 inform you about all that’s new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive.

  • MLOps | Is the Enterprise Repeating the Same DIY Mistakes?

    In this contributed article, Aaron Friedman, VP of Operations at Wallaroo.ai, discusses why hiring data scientists isn’t the answer to unlocking ML value (especially at a time when finding qualified candidates is harder than ever).

  • Beyond CRUD – Why Data-Driven Insight is Taking its Next Leap Forward

    In this special guest feature, Darin Briskman, Director of Technology, Imply, discusses the history of database evolutions of relational CRUD (create, read, update, delete) from data warehousing into the modern era, and why there is a need for architecture to succeed beyond CRUD. Also included is a look at real-time analytic databases that combine CRUD with streams for high concurrency and subsecond response times across billions of data points, such as Apache Druid, with advice intended to help ready developers for the next generation of data analytics.

Featured Resource

insideBIGDATA Guide to Optimized Storage for AI and Deep Learning Workloads

This new technology guide from DDN shows how optimized storage has a unique opportunity to become much more than a siloed repository for the deluge of data constantly generated in today’s hyper-connected world, but rather a platform that shares and delivers data to create competitive business value. The intended audience for this important new technology guide includes enterprise thought leaders (CIOs, director level IT, etc.), along with data scientists and data engineers who are a seeking guidance in terms of infrastructure for AI and DL in terms of specialized hardware. The emphasis of the guide is “real world” applications, workloads, and present day challenges.

All Recent News

Industry Perspectives

  • 3 Ways Thinking Like a Data Scientist Helps to Make Better Business Decisions

    In this special guest feature, Sanjay Vyas, CTO at Planful, discusses how tech departments can interpret data to steer company trajectory. Business leaders will need to encourage their teams to think like data scientists to not only collect more data at higher levels of granularity, but also find streamlined ways to glean better insights to make more frequent and informed strategic decisions.

  • You Don’t Need a PHD to Be a Data Scientist

    In this special guest feature, Head of Data Science Operations, Amy Sharif, at Decision Intelligence company Peak, offers her thoughts on how hiring a diverse group of teammates is critical, especially in 2022, when collaboration, creativity and business smarts are all essential components of a quality data scientist.

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    insideHPC invites you to take our reader survey, your feedback will help us keep publishing relevant content that HPC users and vendors need. In return for your generosity, you’ll be entered into a drawing for a $200 Amazon gift card. The survey only takes about five minutes to complete and will be greatly appreciated by […]

Editor’s Choice

  • The insideBIGDATA IMPACT 50 List for Q3 2022

    The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe. We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and [READ MORE…]

  • Big Data Industry Predictions for 2022

    Welcome to insideBIGDATA’s annual technology predictions round-up! The big data industry has significant inertia moving into 2022. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming. We were very encouraged to hear such exciting perspectives. Even if only half actually come true, Big Data in the next year is destined to be quite an

  • The $500mm+ Debacle at Zillow Offers – What Went Wrong with the AI Models?

    In this contributed article, Anupam Datta, Co-Founder, President, and Chief Scientist of TruEra, discusses Zillow and what went wrong with the AI models. For AI and ML models to perform for profitable outcomes, especially for high stakes models like Zillow’s, it is crucial to have serious AI governance supported by tools for monitoring and debugging, which includes having qualified humans-in-the-loop to adjust to major market shifts that can arise during unexpected events.

  • The Amazing Applications of Graph Neural Networks

    In this contributed article, editorial consultant Jelani Harper points out that a generous portion of enterprise data is Euclidian and readily vectorized. However, there’s a wealth of non-Euclidian, multidimensionality data serving as the catalyst for astounding machine learning use cases.

  • Infographic: The Rise of No-Code Development Platforms

    Our friends over at Saas Platform company in Ireland called TeamKonnect have developed new infographic called “The Rise of No-Code Development Platforms” which is provided below. This infographic is a 101 guide to No-Code Development Platforms. Rising in popularity in the last decade, these platforms offer an exciting opportunity for businesses and organizations to develop apps that meet their needs without the engagement of software engineers.

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