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AI agents are transforming industries. So, what do data scientists need to know to implement AI agents effectively? This KDnuggets article explores the question and lays out five essential topics related to AI agents and autonomous systems. hubs.ly/Q03ff0Yf0

Quality outputs require quality inputs, right? This TDS article explores how a systematic approach to prompt evaluation, composed of algorithmic testing with input/output data fixtures, can make prompt engineering for complex AI tasks more reliable. hubs.ly/Q03fd-z50

AI is changing the talent you need on staff. Do you need an AI engineer? A data scientist? Both? 🤷 Is there a difference? There is. And here’s what you need to know about the two, says TechTarget. #DataScience hubs.ly/Q03fd_qq0

How is AI changing your job? Is it automation or augmentation? This study looked at 4M Gen AI conversations to see what kinds of tasks it’s being used for across industry verticals. hubs.ly/Q03fd-z70

Up to 73% of all enterprise data goes unused for analytics. But AI agents are changing that. This Forbes article dives into the evolution of data analytics and data engineering with AI agents. hubs.ly/Q03ff1Bk0

Is AI a bubble? 🫧 Is it set to burst? This Data Center Frontier article compares AI to the dot-com bubble and investigates the market principles behind AI growth to predict its future. hubs.ly/Q03ff17g0

Every business knows it needs data. Not every business knows what to do with its data. In this recent blog, we cover 4 Things a Telecom Can Do with a Quality Dataset for Machine Learning, setting you up for competitive advantage with effective data usage. hubs.ly/Q03k023v0

Models are only as good as their accuracy. And accuracy can be a relative term. This Towards Data Science article looks at the math behind “true” accuracy and error correlation to figure out “How to Measure Real Model Accuracy When Lables Are Noisy.” hubs.ly/Q03k022x0

The market for wireless services, traditionally the industry's focal point, has become stagnant. Meanwhile, the broadband market is growing more than 14x faster than cellular services. What does this mean for your telecom business? Find out in this blog. hubs.ly/Q03k023w0

⚡ Google has unleashed its agents. What does this mean for you? This TechTarget article takes a quick analysis of the arrival of the agentic era for Google Cloud users. hubs.ly/Q03j__ZR0

Audience segmentation lets you say the right things to the right people. Behind the power of mobile device data, you can use segmentation to reach not just any customers but your most profitable customers. Read our new blog to learn more. hubs.ly/Q03j__k00

We love predictions. 🔮Here’s how Forbes contributor Christer Holloman sees AI, Data Science, and Machine Learning Shaping The Future. Do you agree? 🤔 hubs.ly/Q03j__j80

As generally practical people, data scientists usually love a good decision tree. This Towards Data Science article explores how to extract simple – yet effective – rules from data and use them to inform business decisions. hubs.ly/Q03j__Xb0

Join us on June 26 for a webinar:"Innovations in Lending to New-to-Credit Consumers" featuring insights from a leading lender, LenDenClub. Learn new data tools w/ case studies that demonstrate how alternative data can transform lending practices. Register🔗hubs.ly/Q03rc5Ph0

The title of this Data Science Central article says it all: Are data scientists obsolete in the agentic era? 😳 Here’s how author Adriano Koshiyama sees AI agents reshaping one of the most prestigious tech roles of the past decade. hubs.ly/Q03j__-Y0

As marketers continue to find value in supplemental third-party data, the key remains to choose the right vendors. Want to know why you should choose us? Ask about our data quality hubs.ly/Q03q5qGy0

Acquiring NTC customers has always been a challenge, but innovations in alternative data are changing the game! Join Mobilewalla and Manish Kumar Singh, Lead Data Scientist at LenDen Club for a webinar to learn how fintechs are driving massive growth: hubs.ly/Q03rc8l40

With many different machine learning algorithms to choose from, this guide in KDNuggets was designed to help you navigate towards the right one, depending on your data and the problem to address. hubs.ly/Q03q5pYV0

Businesses that use predictive models driven by AI have seen a 20% improvement in risk management. See how a well-designed data pipeline architecture diagram facilitates real-time data processing in this article from Data Science Central. hubs.ly/Q03q5p100

In just a few days, we’ll be diving deep into "Innovations in Lending to New-to-Credit Consumers". Don't miss out on expert insights from Mobilewalla and LenDen Club! Can’t attend live? All registrants will receive the recorded webinar following the event. hubs.ly/Q03rBSz30