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The latest big data news and articles

Why Autonomous AI is (finally) Disrupting Corporate Finance for Good

In this special guest feature, Kunal Verma, CTO and Co-Founder of AppZen, discusses how technology like RPA and AI are having their breakout moments as company leaders realize they are no longer nice to have, but a business-critical tool to stay ahead of the competition.

Video Highlights: A Path Into Data Science

Are you interested in getting ahead in data science? On this TalkPython podcast episode, you’ll meet Sanyam Bhutani who studied computer science but found his education didn’t prepare him for getting a data science-focused job. That’s where he started his own path of self-education and advancement. Now he’s working at an AI startup and ranking high on Kaggle.

High Tech Pivoting

In this contributed article, Verl McQueen, Product Marketing Manager for Aras Corporation, discusses how agility counts in innovation and even more so when pivoting to new business models. But if your existing tool set resists or cannot change, pivoting can be slow and painful. Some vendors encourage customization of their base offering and some even provide a low-code pathway to enact such changes.

insideBIGDATA Guide to Big Data for Finance (Part 3)

[SPONSORED CONTENT] This insideBIGDATA technology guide co-sponsored by Dell Technologies and AMD, “insideBIGDATA Guide to Big Data for Finance,” provides direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively across a few distinct areas in today’s financial service institutions (FSI) climate.

Want AI to Power your CRM? Then it’s Time to Clean Up your Data

In this special guest feature, Jody Glidden, CEO and Co-Founder of Introhive, discusses the impact of dirty CRM data. Cleaning the data can increase employee productivity and provide the relationship intelligence that will bring companies one step closer to properly implementing AI within their CRM.

The insideBIGDATA IMPACT 50 List for Q3 2021

The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms 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 of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and services. We’re happy to publish this evolving list of the industry’s most impactful companies!

“Above the Trend Line” – Your Industry Rumor Central for 7/13/2021

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Video Highlights: Running Effective Machine Learning Teams

In the video presentation below, Niko Laskaris, Data Scientist and Head of Strategic Projects at MLOps solutions provider Comet, hosts a compelling webinar showing you how to address many issues regarding AI/ML. He also shares case studies, and examines the shortfalls of traditional and agile practices applied to ML teams.

The Need for Brands to Invest in Data Analytics

In this special guest feature, Thalya Hamilton, VP of Analytics & Data Science, Quotient, discusses how brands will need to strike the right balance by bringing data and analytics in-house—staffing the right talent and empowering them to lead the way forward—while also finding third-party experts to partner with to strengthen their understanding of that data. This dual approach is key if brands want to succeed in a digital-first world.