College athletic recruiting is the Wild West these days. From NIL money and the (wide) opening of the transfer portal, to conference realignment and now the end of the national letters of intent program, the process of matching millions of amateur athletes with 2,800 college sports programs has turned into a free-for-all. But that chaos…
Lightdash, a business intelligence (BI) platform and open-source alternative to Google’s Locker, announced it has raised $11 million in an early-stage funding round to integrate artificial intelligence into BI solutions. The new funding will be used to accelerate product development and build additional technical features and functionality to make it easier to adopt self-service AI-powered…
The Microsoft Azure Incubations team is one of the more interesting components of Microsoft’s hyperscale cloud. It is something between a traditional software development team and a research organization working to build solutions to the problems of distributed systems at massive scale. Those solutions might be extensions to Kubernetes, such as the KEDA (Kubernetes event-driven…
Every enterprise today is looking to get as much as possible out of its data and AI investments. But when building in-house apps, developers can struggle with infrastructure constraints and maintenance, security, data governance, compliance, and other issues. “Companies want to build custom experiences,” Shanku Niyogi, VP of product at Databricks, told InfoWorld. However, “as…
Artificial intelligence has the power to revolutionize industries, drive economic growth, and improve our quality of life. But like any powerful, widely available technology, AI also poses significant risks. California’s now vetoed legislation, SB 1047 — the Safe and Secure Innovation for Frontier Artificial Intelligence Models Act — sought to combat “catastrophic” risks from AI…
Self-service analytics empowers the non-technical users in an organization. Traditionally, data analysis was the domain of specialized data scientists or IT professionals with skills to manipulate and interpret complex datasets. In self-service analytics, user-friendly tools enable ordinary business users to conduct data analyses without expert knowledge or support. These tools typically feature user-friendly interfaces, drag-and-drop functionalities, and pre-built templates…
Spencer Czapiewski October 7, 2024 – 9:59pm Madeline Lee Product Manager, Technology Partners Enabling teams to make trusted, data-driven decisions has become increasingly complex due to the proliferation of data, technologies, and tools. For example, through Mulesoft’s Connectivity Benchmark report we found that the average enterprise uses 991 applications. This technology sprawl often creates data…
Finding data to train AI models has become a major headache for enterprises, as they have largely exhausted the most useful publicly available datasets. While organizations possess valuable proprietary data that could enhance their AI training efforts, they are often hesitant to leverage it due to privacy concerns, compliance issues, and the costs associated with…
Until recently, data scientists and analysts’ primary deliverables were data visualizations, machine learning models, dashboards, reports, and analytical insights used for storytelling. Now, with genAI capabilities, data scientists are called to expand their analytics to include unstructured data sources, help business teams pivot to data-driven decision-making, consult on AI ethics and governance, and help establish…
Solutions Review Executive Editor Tim King curated this list of notable analytics and data science news for the week of October 4, 2024. Keeping tabs on all the most relevant analytics and data science news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines…
