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“Above the Trend Line” – Your Industry Rumor Central for 4/23/2018

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 people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Developing a Deeper Understanding of Apache Kafka Architecture Part 2: Write and Read Scalability

In this contributed article, Paul Brebner, Tech Evangelist at Instaclustr provides Part 2 of his two-part series on Apache Kafka. In Par 1 we gained an understanding of the main Kafka components and how Kafka consumers work. Now, we’ll see how these contribute to the ability of Kafka to provide extreme scalability for streaming write and read workloads.

How We Implemented (and Secured) a Big Data Microservices Infrastructure

In this contributed article, Tobias Gurtzick, Security Architect, and Dr. Sayf Al-Sefou, CTO at Arvato Infoscore, discuss the pretty lofty big data challenge stemming from their company’s monolothic architecture, and how they got through it (with particularly data sensitivity being in the financial services space and thus subject to tighter regulations).

All-in on AI? Five Considerations to Help Ensure Long-Term Success

In this contributed article, Kurt Kuckein, Director of Marketing for DDN Storage, offers five key areas to strongly consider when creating and developing an AI data platform that ensures better answers, faster time to value, and capability for rapid scaling. Analytics, AI and Machine Learning continue to make extensive inroads into data-oriented industries presenting significant opportunities for Enterprises and research organizations. However, the potential for AI to improve business performance and competitiveness demands a different approach to managing the data life-cycle.

GTC Interview: AI Ready Solutions from Dell EMC

In this video from the GPU Technology Conference, Kash Shaikh from Dell EMC describes the company’s new AI Ready Solutions. “Dell EMC is at the forefront of AI, providing the technology that makes tomorrow possible, today. Dell EMC uniquely provides an extensive portfolio of technologies — spanning workstations, servers, networking, storage, software and services — to create the high-performance computing and data analytics solutions that underpin successful AI, machine and deep learning implementations.”

InsideHPC Market Survey Results Intersection of AI and HPC

HOT off the press from our venerable sister publication insideHPC, is the new 2018 AI/HPC Perceptions Survey which was fielded to gain insights on the HPC community’s perceptions on the intersection of HPC and AI. The survey was executed in October of 2017 — and again in February 2018 — with a total of 201 responses.

How AI Can Create Conflict within Businesses – and What to Do About It

In this contributed article, Deep Varma, VP of Engineering at Trulia points out that for AI and machine learning products to have a real chance for both businesses and their customers, they need to improve experiences and make life easier, while also ensuring consumers feel confident and safe in everything they’re doing. To achieve that, product and data science need to create a working framework that not only enables collaboration, but also maintains the strengths and values each of these teams bring to the organization.

“Above the Trend Line” – Your Industry Rumor Central for 4/3/2018

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 people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

The insideBIGDATA IMPACT 50 List for Q2 2018

The team here at insideBIGDATA is deeply entrenched in the big data ecosystem of companies from around the globe. We’re in close contact with a great many 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 for publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by they 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!

AI is Coming. What’s in Store for You?

In this contributed, Anthony Coggine, HR professional turned business analyst, takes a high-level look at AI and how it’s made strong inroads into may facets of everyday life. How far the technology integrates into our daily lives is dependent on a few key factors, including how it changes employment, the economy, and productivity. Whatever the effects may be, AI will certainly change how we relate with the world irrevocably.