Heard on the Street – 3/30/2023
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.
Featured Stories
Feed the Beast: How to Get Business Analytics Delivering
In this contributed article, Chonchol Gupta, CEO, Rebirth Analytics, believes that if enterprises want to identify and swerve risk, they require a radical rethink of how they obtain the data that fuels their analytics engines.
insideBIGDATA Latest News – 3/29/2023
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.
Sponsored by: AcceldataAcceldata and its Data Observability Platform – Solving Big Data Management Challenges
In this video interview with Ashwin Rajeeva, co-founder and CTO of Acceldata, we talk about the company’s data observability platform – what “data observability” is all about and why it’s critically important in big data analytics and machine learning development environments.
Featured Resource
Sponsored by: DellinsideBIGDATA Guide to Government
This white paper from Dell Technologies and AMD examines big data analytics projects in government and recommends 15 lessons government agencies can learn. Big data is big business, particularly in the government sector. According to market researchers at IDC, worldwide spending on big data and business analytics solutions grew 10.1% in 2021 to total an estimated $215.7 billion. And a lot of that spending came from the public sector as the government was among the top six industries for overall expenditures related to big data analytics.
Industry Perspectives
Unlocking Hidden Value From Production Line Data
In this contributed article, Dr Richard Parmee, founder and CEO of Sapphire Inspection Systems, highlights how the increased connectivity of devices and data analysis tools is now making it possible to unlock hidden value from production-line data. He explains how the real-time insights from end-of-line inspection equipment can be used to optimize processes.
How to Fix Blockchain’s Missing Link to Cross the Data Chasm
In this contributed article, Toby Mills, CEO of Entopy, looks at the trend for organizations to turn to technologies such as artificial intelligence and blockchain in an attempt to find a ‘silver bullet’ to unlock the next wave of business transformation. But unless the right data is gathered in the first place – and harnessed effectively – even the best new technologies will fall victim to the age-old “garbage in, garbage out.” Toby started his entrepreneurial journey in 2016 with domestic IoT products before launching Entopy in 2017. Since then, he has overseen the evolution of the company from a [READ MORE…]
Featured from insideHPC
- Oregon Bill Would Penalize Data Centers for Failure to Meet Emissions Requirements Starting in 2027A bill before the Oregon state legislature would penalize data centers for not meeting emissions standards starting in 2027 and could — if approved in Oregon and similar measures are adopted by other states — have significant implications for hyperscalers and HPC organizations with heavy electrical requirements. A story in yesterday’s The Oregonian reported that […]
News from insideHPC
- Quantum on Wall Street: JPMorgan Chase and QC Ware Report on ‘Deep Hedging’ with Quantum-Classical
- Oregon Bill Would Penalize Data Centers for Failure to Meet Emissions Requirements Starting in 2027
- BNP Paribas to Move More IT Infrastructure to atNorth HPC Data Center
- Networking Chip Startup Enfabrica Emerges from Stealth, Reports 50X Memory Expansion in Clusters for AI and HPC
- IBM Cloud Direct Link Available on Cologix Access Marketplace
- Cerebras, Databricks Stoke Generative AI Arena with Open Source LLMs
- Drs. Joffman and Somojai Win Enrico Fermi Award
Editor’s Choice
The insideBIGDATA IMPACT 50 List for Q1 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.
Big Data Industry Predictions for 2023
Welcome to insideBIGDATA’s annual technology predictions round-up! The big data industry has significant inertia moving into 2023. In order to give our valued readers a pulse on important new trends leading into next year, we here at insideBIGDATA heard from all our friends across the vendor ecosystem to get their insights, reflections and predictions for what may be coming. We were very encouraged to hear such exciting perspectives.
The $500mm+ Debacle at Zillow Offers – What Went Wrong with the AI Models?
In this contributed article, Anupam Datta, Co-Founder, President, and Chief Scientist of TruEra, discusses Zillow and what went wrong with the AI models. For AI and ML models to perform for profitable outcomes, especially for high stakes models like Zillow’s, it is crucial to have serious AI governance supported by tools for monitoring and debugging, which includes having qualified humans-in-the-loop to adjust to major market shifts that can arise during unexpected events.
The Amazing Applications of Graph Neural Networks
In this contributed article, editorial consultant Jelani Harper points out that a generous portion of enterprise data is Euclidian and readily vectorized. However, there’s a wealth of non-Euclidian, multidimensionality data serving as the catalyst for astounding machine learning use cases.
Infographic: The Rise of No-Code Development Platforms
Our friends over at Saas Platform company in Ireland called TeamKonnect have developed new infographic called “The Rise of No-Code Development Platforms” which is provided below. This infographic is a 101 guide to No-Code Development Platforms. Rising in popularity in the last decade, these platforms offer an exciting opportunity for businesses and organizations to develop apps that meet their needs without the engagement of software engineers.
