insideBIGDATA AI News Briefs – 9/28/2023
Welcome insideBIGDATA AI News Briefs, our timely new feature bringing you the latest industry insights and perspectives surrounding the field of AI including deep learning, large language models, generative AI, and transformers. We’re working tirelessly to dig up the most timely and curious tidbits underlying the day’s most popular technologies. We know this field is advancing rapidly and we want to bring you a regular resource to keep you informed and state-of-the-art.
Automating Model Monitoring in MLOps: Leveraging AI to Track Performance and Detect Anomalies
In this contributed article, April Miller, senior IT and cybersecurity writer for ReHack Magazine, discusses how MLOps — with its emphasis on the end-to-end life cycle of ML models — needs to prioritize automated, AI-driven model monitoring. As the world increasingly relies on ML-driven decisions, ensuring these models operate without biases and remain trustworthy is paramount.
Heard on the Street – 9/26/2023
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.
The Three Greatest Areas of Impact for AI in Automation
In this contributed article, Jakob Freund, Co-Founder and CEO at Camunda, explores three different types of AI that he predicts will dominate industries as organizations work to ensure business processes are streamlined and working as intended. These three AI buckets include predictive decision-making, generative processes, and assistive tools.
Sponsored Guest Article
Why Car Storage Depends on the Right Workload Analysis
In this sponsored post, Russell Ruben, director of automotive and emerging segment market, Western Digital, believes that as vehicle innovation continues over the next few years, driven by advances in sensors, 5G, AI, machine and deep learning and big data analytics, so must storage. Storage technology needs to keep up with the rapid pace of development as it becomes increasingly critical to support more and more demanding applications with mixed usages than ever before.
White Papers
How do you accommodate exponentially growing data?
Now that many companies have switched from conventional storage to the cloud, modern data strategies can be implemented to further optimize data storage and processing needs.
Editor’s Choice
The insideBIGDATA IMPACT 50 List for Q3 2023
The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe. We’re in close contact with the movers and shakers 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.
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Book Review: The Kaggle Book/Workbook
Kaggle is an incredible resource for all data scientists. I advise my Intro to Data Science students at UCLA to take advantage of Kaggle by first completing the venerable Titanic Getting Started Prediction Challenge, and then moving on to active challenges. Kaggle is a great way to gain valuable experience with data science and machine learning. Now, there are two excellent books to lead you through the Kaggle process. The Kaggle Book by Konrad Banachewicz and Luca Massaron published in 2022, and The Kaggle Workbook by the same authors published in 2023, both from UK-based Packt Publishing, are excellent learning resources.
Video Highlights: Yann LeCun and Andrew Ng: “AI Doomers” and Why the 6-month AI Pause is a Bad Idea
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.
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Generative AI governance How to reduce information security risks
Generative AI tools, particularly Large Language Models (LLMs) such as ChatGPT, offer immense potential for solving all kinds of business problems, from creating documents to generating code. They can also introduce security risks in two novel ways: leaking information and introducing code vulnerabilities. This article explores the ways these challenges often arise across organizations and […]
Evolutionary organizations reimagine the future: an MIT Technology Review Insights report, sponsored by Thoughtworks
Across all industries, organizations are facing relentless customer, market, geopolitical, and technology change. In response, most are dedicating a huge amount of time and resources to discrete digital transformation initiatives — but few are seeing the results and ROI they really want. In this MIT Technology Review Insights report — created in collaboration with Thoughtworks […]
Concerned About Migrating to the Cloud?
Watch this video to learn more about cloud services and how a cloud service solution just might be the answer to all your challenges when it comes to the storage, accessibility, capacity, and security of your data and applications.
Sponsored Guest Articles
Improving Product Quality with AI-based Video Analytics: HPE, NVIDIA and Relimetrics Automate Quality Control in European Manufacturing Facility
Manufacturers are using the power of AI and video analytics to enable better quality control and traceability of quality issues, bringing them one step closer to achieving zero defects and reducing the downstream impacts of poor product quality. Together, HPE, NVIDIA and Relimetrics enable customers to adapt to high production variability and velocity with faster, more accurate, automated inspection processes.
Interview: John Shaw, CEO, Add Value Machine, Inc.
In this exclusive feature, we’re thrilled to introduce John Shaw, CEO of Add Value Machine (shortly AVM). As a seasoned tech entrepreneur and AI visionary, John is at the helm of AVM’s mission to revolutionize the way businesses utilize Generative AI. The company is dedicated to developing a secure and compliant platform, addressing a critical need for enterprises and accelerating the adoption of AI to drive substantial business value. Throughout this interview, John shares insights about AVM’s unique approach, its value proposition, and how it navigates the evolving landscape of Generative AI.
Busting Data Observability Myths
In this sponsored article, Rohit Choudhary, co-founder and CEO of Acceldata, breaks down four common myths and misconceptions around observability. In today’s economic climate, many companies are tightening their belts. They need solutions that help them run their business efficiently, smoothly, and reliably in order to maximize impact and keep customers happy. Data is every company’s most valuable asset, and data observability tools are indispensable for keeping an eye on data health and ensuring business continuity.
