KDnuggets
SEPTEMBER 26, 2024
Are you an aspiring data scientist or early in your data science career? If so, you know that you should use your programming, statistics, and machine learning skills—coupled with domain expertise—to use data to answer business questions. To succeed as a data scientist, therefore, becoming proficient in coding is essential. Especially for handling and analyzing.
Data Engineering Weekly
SEPTEMBER 26, 2024
Once again, I want to thank the Data Heros community. Last Friday, we discussed the challenges in bulk discovery and anonymization processes in data warehouses. The collective design choices and ideas lead to a comprehensive overview of thinking about designing data infrastructure with a privacy-first approach. Why care about privacy? Privacy and access management within data infrastructure is not just a best practice; it's a necessity.
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KDnuggets
SEPTEMBER 26, 2024
Healthcare services are no longer limited to one-size-fits-all approaches applicable to every patient. Instead, there has been a gradual shift towards more individualized and patient-centered solutions. Accordingly, personalized healthcare aims to provide patients with treatments and medical assistance that are tailored to their unique health status, medical history, and lifestyle: simply put, tailored to their.
Striim
SEPTEMBER 26, 2024
In today’s fast-paced financial landscape, detecting transaction fraud is essential for protecting institutions and their customers. This article explores how to leverage Striim and SDGClassifier to create a robust fraud detection system that utilizes real-time data streaming and machine learning. Problem Transaction fraud detection is a critical responsibility for the IT teams of financial institutions.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
Contractors today are navigating a market with increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in. It integrates these digital solutions into everyday workflows, turning raw data into actionable insights.
KDnuggets
SEPTEMBER 26, 2024
The launch of foundational models, popularly called Large Language Models (LLMs), created new ways of working – not just for the enterprises redefining the legacy ways of doing business, but also for the developers leveraging these models. The remarkable ability of these models to comprehend and respond in human-like language has given rise to.
Precisely
SEPTEMBER 26, 2024
Key Takeaways: Trusted AI requires data integrity. For AI-ready data, focus on comprehensive data integration, data quality and governance, and data enrichment. A structured, business-first approach to AI is essential. Start with clear business use cases and ensure collaboration between business and IT teams for the greatest impact. Building data literacy across your organization empowers teams to make better use of AI tools.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Confluent
SEPTEMBER 26, 2024
Atomic Tessellator uses data streaming and GenAI to revolutionize computational chemistry, enabling rapid catalyst discovery. Learn how here.
Towards Data Science
SEPTEMBER 26, 2024
One step forward; no steps back Continue reading on Towards Data Science »
Snowflake
SEPTEMBER 26, 2024
There’s no question which technology everyone’s talking about in retail. Generative AI continues to promote incredible levels of interest with its promise of next-level productivity and new kinds of employee and customer experience. It’s all happening at light speed. When ChatGPT burst onto the scene, it gained hundreds of millions of users in a matter of months.
Cloudera
SEPTEMBER 26, 2024
The journey from a great idea for a Generative AI use case to deploying it in a production environment often resembles navigating a maze. Every turn presents new challenges—whether it’s technical hurdles, security concerns, or shifting priorities—that can stall progress or even force you to start over. Cloudera recognizes the struggles that many enterprises face when setting out on this path, and that’s why we started building Accelerators for ML Projects (AMPs).
Speaker: Evelyn Chou
Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.
Monte Carlo
SEPTEMBER 26, 2024
Monte Carlo, the AI-first data observability platform, announced Tim Miller as the company’s first Chief Revenue Officer as it continues to bolster its leadership team. He will lead the company’s go-to-market operations worldwide, including business development, sales, and customer success. In this new role, Miller will drive Monte Carlo’s revenue strategies, operations, and growth initiatives, including the expansion of the company’s footprint across the enterprise and strategic markets.
ThoughtSpot
SEPTEMBER 26, 2024
Dear ThoughtSpot Community, I couldn't be more thrilled to announce that we're welcoming our new CEO to the ThoughtSpot family: Ketan Karkhanis. This marks a significant milestone in our journey, and I wanted to share why this is such an exciting development for all of us. A Time of Rapid Growth and Unprecedented Opportunity From day one, we have been focused on our mission—to make the world more fact-driven.
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