The latest big data news and articles

insideBIGDATA Latest News – 5/18/2023

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.

Cognizant Launches Cognizant Neuro®️ AI Platform to Help Companies Responsibly Deploy Generative AI at Enterprise Scale

Cognizant (NASDAQ: CTSH) announced a new, enterprise-wide platform, Cognizant Neuro®️ AI, designed to provide enterprises with a comprehensive approach to accelerate the adoption of generative AI technology and harness its business value in a flexible, secure, scalable and responsible way.

WEKA Rolls Out New Features and Enhancements in 4.2 Software Release

WekaIO, the data platform provider for performance-intensive workloads, unveiled version 4.2 of the WEKA® Data Platform. The new release brings a variety of enhanced features and new capabilities to the company designed to increase the affordability and performance of next-generation technologies for WEKA’s customers. These include advanced data reduction and a new container storage interface (CSI) plug-in for stateful containerized workloads that can help customers dramatically lower their storage and operational costs.

From Data Mess to Data Mesh 

In this contributed article, David Castro-Gavino, Global Vice President of Data at HelloFresh, highlights how the data mesh movement has been underway in recent years with the goal of reducing interdependencies and enabling self-service business intelligence. However, moving to a distributed data ownership takes organization, planning and buy-in from the right stakeholders, and we cannot underestimate the cultural change needed to accomplish this.

Heard on the Street – 5/15/2023

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

DDN is a Leading Data Storage Company Behind the Machine Learning and Generative AI Explosion

DDN®, a leader in artificial intelligence (AI) and multi-cloud data management solutions, announced that it has sold more AI storage appliances in the first four months of 2023 than it had for all of 2022. Broad enthusiasm for the business opportunities presented by generative AI has resulted in a steady increase in investment in AI and AI infrastructure.

FeatureByte Releases FeatureByte SDK in Open Source

FeatureByte, an AI startup formed by a team of data science experts, announced the release of its open-source FeatureByte SDK. The SDK allows data scientists to use Python to create state-of-the-art features and deploy feature pipelines in minutes – all with just a few lines of code. FeatureByte automatically generates complex, time-aware SQL to perform feature transformations at scale in cloud data platforms such as Databricks and Snowflake.

Video Highlights: Introduction to Explainable AI

Responsible AI is reaching new heights these days. Companies have started exploring Explainable AI as a means to explain the results better to senior leadership and increase their trust in AI Algorithms. This workshop presentation, conducted by Supreet Kaur, Assistant Vice President at Morgan Stanley, will entail an overview of this area, importance of it in today’s era, and some of the practical techniques that you can use to implement it.

Why SLIs and SLOs Are Essential for Observability

In this contributed article, Jemiah Sius, Director, Product Management, New Relic, discusses the difference between good and bad SLIs — and how that can inform creating the best SLOs to measure improvement. Establishing SLIs and SLOs will result in a simpler and more responsive observability practice, tighter alignment with the business, and a faster path to improvement. It’s simple and easy to get started, practice this on one service and see how well it works. 

Top Data Science Ph.D. Dissertations (2019-2020)

The American Mathematical Society (AMS) recently published in its Notices monthly journal a long list of all the doctoral degrees conferred from July 1, 2019 to June 30, 2020 for mathematics and statistics. The degrees come from 242 departments in 186 universities in the U.S. I enjoy keeping a pulse on the research realm for my field, so I went through the entire published list and picked out 48 dissertations that have high relevance to data science, machine learning, AI and deep learning. The list below is organized alphabetically by state.