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The insideBIGDATA IMPACT 50 List for Q3 2020

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!

Special Report: The State of AI and Machine Learning

Appen Limited, a leading provider of high-quality training data for organizations that build effective AI systems at scale, released its annual State of AI Report for 2020. The report highlights increasing C-suite involvement and investment in enterprise AI projects as well as data being a key challenge as AI models get more frequent updates in production. The report also reveals the recent acceleration of AI strategies in the wake of the COVID-19 pandemic.

How AI Motivates A Remote Workforce

In this contributed article, Dr. Tommy Weir, CEO and founder of enaible, discusses how to use AI to ensure that workers are focused “deep work” — the work that fulfills the most important business objectives — rather than process work. AI can also help companies reveal who the most valuable knowledge workers are – those that are making a big difference in fulfilling company objectives and driving profits.

The Data Governments are Using AI to Fight COVID-19 in Africa and Asia

Fraym is using artificial intelligence and machine learning to help aid organizations in Africa and South Asia identify populations at risk due to Covid-19 using new geospatial visualizations.

Model Risk Management in the Age of AI

In this contributed article, Stu Bailey, Co-Founder and Chief AI Architect of ModelOp, discusses how financial services companies can easily validate multiple AI/ML models and reduce ML project costs by 30% through automation. ModelOps refers to the process of enabling data scientists, data engineers, and IT operations teams to collaborate and scale models across an organization. This drives business value by getting models into production faster and with greater visibility, accountability and control.

The Future Starts Now – Achieving Successful Operation of ML & AI-Driven Applications

Operationalizing AI and ML has become an unavoidable need in business, as various industries heavily rely on large volumes of real-time data as input to automated decision-making processes to yield the best results. Use cases in the data science field have shown that ML models and AI have few tangible business benefits until they are operationalized. In this e-book, our friends over at MemSQL show us how to successfully deploy model-driven applications into production.

Prioritize, Don’t Ration: AI Will Lead Healthcare through the Post-COVID Bottleneck

In this contributed article, Ohad Arazi, Chief Executive Officer of Zebra Medical Vision, explains that while AI can’t yet fight the coronavirus directly, it can play a central role in creating the efficiency needed for healthcare professionals to get to as many cases possible, especially post-COVID-19.

Building Powerful Enterprise AI Infrastructure: How to Design Enduring Infrastructure for AI

Our friends over at cloud-neutral colocation data center company Interxion have published a whitepaper titled, “Building Powerful Enterprise AI Infrastructure: How to design enduring infrastructure for AI,” which details the requirements of an ideal infrastructure environment when it comes to reaping the benefits of today’s growing volume of data and enabling AI at scale. By automating repetitive processes, delivering new strategic insights, and accelerating innovation, AI has the power to revolutionize business.

Building Powerful Enterprise AI Infrastructure: How to Design Enduring Infrastructure for AI

Our friends over at cloud-neutral colocation data center company Interxion have published a whitepaper titled, “Building Powerful Enterprise AI Infrastructure: How to design enduring infrastructure for AI,” which details the requirements of an ideal infrastructure environment when it comes to reaping the benefits of today’s growing volume of data and enabling AI at scale.

Two Day Launch Event: Enabling Real Artificial Intelligence with Dell Technologies and PowerEdge

Please join us for two free CrowdChat events on June 2 & 3 to learn how Dell Technologies and PowerEdge enable more organizations to leverage AI with VMware & Intel. Dell Technologies is already helping their customers explore and reap the benefits of this exciting new frontier with scalable, flexible solutions designed to help you solve complex problems faster than ever.