Anomaly Detection: Its Real-Life Uses and the Latest Advances
In this contributed article, Al Gharakhanian, Machine Learning Development Director, Cognityze, takes a look at anomaly detection in terms of real-life use cases, addressing critical factors, along with the relationship with machine learning and artificial neural networks.
Featured Stories
The Real Value of Data Observability
In this special guest feature, Andy Petrella, CPO and founder of Kensu, points out that as application observability became a central element for DevOps teams, data observability is set to follow the same path and help data teams to lower maintenance costs, scale up value creation from data, and maintain trust in it.
Heard on the Street – 2/1/2023
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.
Why AutoML Isn’t Enough to Democratize Data Science
In this contributed article, Noam Brezis, co-founder and CTO of Pecan AI, explores that because AutoML was born out of academia, in its current incarnation it is only built to simplify the model building process. This is likely the reason why existing AutoML solutions are finding challenges with scaling. Plus, these types of solutions are not incorporating the aspects of data prep and feature engineering, nor the model training, deployment and monitoring, which as a result slowing down adoption of AI within the enterprise and curtailing the impact it can deliver.
Featured Resource
Sponsored by: Ui PathHow automation gets finance workloads back in balance
How can finance teams lighten the workload and take their rightful place advising on business strategies and best practices? Automation can help. Software robots are ideally suited for transaction processing, accounting operations, and compliance work. It’s time for finance teams to do more of what they were meant to do: help the entire business be better. In this eBook from UiPath we’ll take a quick look at how automation can make that happen.
Industry Perspectives
How Do Low-Code Developers Increase Business Value?
In this special guest feature, Amy Groden-Morrison, VP of Marketing and Sales Operation for Alpha Software, examines the business value low-code developers offer and the challenges low-code development solves. A common misconception about low-code developers is that they’re not skilled enough to develop high-value apps with advanced features. However, prominent research suggests quite the contrary.
MLOps is Booming: Three Best Practices for Success
In this special guest feature, Moses Guttmann, CEO and Co-Founder, ClearML, believes that MLOps is here to stay and finding MLOps success depends on more than just grabbing the newest, shiniest solution off the shelf. By keeping these few best practices in mind, businesses can build the foundations they need for sustainable MLOps growth.
Featured from insideHPC
- @HPCpodcast: On ‘Myths and Legends of HPC’ with the RIKEN Center’s Satoshi Matsuoka and Torsten Hoefler, ETH ZurichThere are so many great tech ideas, but how do you assess which ones will impact HPC? How do we filter out hype? In a new, future looking paper entitled "Myths and Legends in High-Performance Computing," Satoshi Matsuoka, Jens Domke, Mohamed Wahib, Aleksandr Drozd, and Torsten Hoefler tackle 12 important topics, from major technology areas […]
News from insideHPC
- NSF Announces Solicitation for Open-source Ecosystems
- Carnegie Mellon’s Sandholm Earns AAAI Award for AI That Benefits Humanity
- SAP Announces Partnership to Expand Use of Red Hat Enterprise Linux
- OpenAI Launches ChatGPT Subscription Offering
- Lenovo’s Net Carbon-Zero 2050 Commitment Validated by Global Standards Body
- @HPCpodcast: On ‘Myths and Legends of HPC’ with the RIKEN Center’s Satoshi Matsuoka and Torsten Hoefler, ETH Zurich
- Embedded Edge AI SiMa.ai Releases PCIe-based Production Boards
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.
