Announcements
- End-user computing must now account for the millions of workforces that have transitioned to hybrid and remote models. Virtual workspace models such as DaaS and VDI allow users to access virtual desktops to help streamline their workflow and minimize the burden on IT staff. However, companies must consider cost, scalability and management when deploying a virtual workspace, as well as security strategies to ensure workers are protected and able to remain productive. Join the Next-Generation End User Computing summit to discover how to best implement and manage hosted and virtual workspaces including DaaS and VDI.
- Managing the supply chain is exceedingly difficult with global conflicts and market ups and downs interfering with companies’ ability to timely deliver and fulfil orders. Tune into the Overcoming Supply Chain Challenges summit to hear leading experts discuss emerging technologies to help protect and streamline supply chain management along with strategies and tools to secure the supply chain against the many cyber threats it faces. Register for free and gain access to live webinars, fireside chats and keynote presentations from the world’s leading supply chain innovators, vendors and evangelists.
Top Stories
- How AI growth has triggered data center redesign
September 25, 2023
by Alan Morrison
A major aspect of ongoing data center redesign is due to AI’s massive, complex workloads and the need to add many more graphic processing units (GPUs), tensor processing units (TPUs) or accelerators to the mix. - Use Case Language Models: Taming the LLM Beast – Part 1
September 23, 2023
by Bill Schmarzo
“Sometimes, you don’t know where you’re going until you get there.” – Schmarzo-ism? Yes, writing this blog turned into a journey. I started in one direction, but after several twists and turns, I ended up with this concept – that use case-centric language models can be combined into entity-centric language models that can support multiple use cases at minimal marginal costs, significantly impacting the economics of AI development. - In fraud detection for e-commerce: How does anomaly detection fit in and what are the key approaches?
September 25, 2023
by John Lee
E-commerce has improved technology and convenience for consumers globally. Fraud is a problem in e-commerce. Merchants and platforms fight fraud to protect their businesses and customers. Anomaly detection is a powerful tool for identifying irregular patterns and potential fraud.
In-Depth
- Doing graph + tabular analytics directly on modern data lakes
September 26, 2023
by Alan Morrison
A podcast with Weimo Liu and Sam Magnus of PuppyGraph Open source Apache Iceberg, Hudi and Delta Lake have made it possible to dispense with the complexities and duplication of data warehousing. - The essential guide on data security and privacy in web localization
September 25, 2023
by Nakivo Backup & Replication
Thanks to the internet, you can now easily expand your reach and engage with diverse audiences wherever they are. However, this opportunity raises an important question: how can you localize your web content and maintain the security and privacy of sensitive data? - Doing graph + tabular analytics directly on modern data lakes
September 22, 2023
by Alan Morrison
A podcast with Weimo Liu and Sam Magnus of PuppyGraph Open source Apache Iceberg, Hudi and Delta Lake have made it possible to dispense with the complexities and duplication of data warehousing. - AI in finance: Addressing hurdles on the path to transformation
September 22, 2023
by Aileen Scott
Discover the obstacles hindering seamless AI adoption in financial services and gain actionable insights to navigate regulatory compliance, data security, organizational change, and more. - DSC Weekly 19 September 2023
September 19, 2023
by Scott Thompson
Read more of the top articles from the Data Science Central community. - A guide to setting up analytics at a consumer tech startup
September 19, 2023
by Abhi Sawhney
Where do you start if you want to build a data analytics function from the ground up? As an analytics leader at a startup, you will need to make several important decisions early on to build an effective team. This article dives into four decision areas and highlights ways in which to think about them.
