Welcome to insideAI News’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.
Edge Computing 101: Understanding the 5 Different Types of Edge Solutions
April 12, 2023 by
In this special guest feature, Wayne Carter, VP Engineering of Couchbase, discusses the current state of edge computing, while digging into the different types of edge (including micro edge, mini edge, medium edge, heavy edge and multi-access) and when it makes sense to use them.
Chat GPT-3 Statistics: Is the Future Already Here?
April 12, 2023 by
Our friends over at Tidio just released a new study on ChatGPT and what society thinks of it, supported by a number of compelling visuals. The study includes a variety of interesting data, as well as a selection of cool use cases of ChatGPT with prompt examples.
Book Review: Math for Deep Learning
April 11, 2023 by
One of my favorite learning resources for gaining an understanding for the mathematics behind deep learning is “Math for Deep Learning” by Ronald T. Kneusel from No Starch Press. If you’re interested in getting quickly up to speed with how deep learning algorithms work at a basic level, then this is the book for you.
Video Highlights: Yann LeCun and Andrew Ng: “AI Doomers” and Why the 6-month AI Pause is a Bad Idea
April 10, 2023 by
In this Video Highlights feature, two respected industry luminaries, Andrew Ng and Yann LeCun, they discuss the proposal of a 6-month moratorium on generative AI. The discussion offers reasonable perspectives for how generative AI has turned the world on edge.
Grafana Labs Observability Survey 2023 Finds Centralization Saves Time and Money for an Industry Plagued by Tool and Data Source Overload
April 8, 2023 by
Grafana Labs, the company behind the open and composable operational dashboards, announced the findings of the Grafana Labs Observability Survey 2023. The report, which focused on the state of observability, found that organizations are challenged by tool sprawl and data source overload, with 52% of respondents reporting that their companies use 6 or more observability tools, including 11% that use 16 or more.
The Truth Behind Why Most ML Projects Still Fail and What to Do About It
April 6, 2023 by
In this special guest feature, Gideon Mendels, CEO and co-founder of Comet ML, dives into why so many ML projects are failing and what ML practitioners and leaders can do to course correct, protect their investments and ensure success.
What Does It Take to Build a Data Platform to Support Predictive Analytics?
April 6, 2023 by
In this contributed article, data engineer Koushik Nandiraju discusses how a predictive data and analytics platform aligned with business objectives is no longer an option but a necessity. While this requires complex data warehouses, architectures, and collection systems to ensure the mass amounts of customer and business data at the organization’s fingertips can be utilized to make actionable, data-driven decisions that benefit the company, it also requires a growth mindset across the organization.
Heard on the Street – 4/5/2023
April 5, 2023 by
Welcome to insideAI News’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.
Slidecast: Ashwin Rajeeva, Co-founder & CTO of Acceldata Discusses Data Observability
April 4, 2023 by
In this slidecast presentation, Ashwin Rajeev from Acceldata describes the company’s data observability solutions. Acceldata solutions allow you to gain comprehensive insights into your data stack to improve data and pipeline reliability, platform performance, and spend efficiency.
