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Home»Science»Analytics and Data Science News for the Week of October 11; Updates from Databricks, Lightdash, SAP & More
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Analytics and Data Science News for the Week of October 11; Updates from Databricks, Lightdash, SAP & More

October 12, 2024No Comments
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Solutions Review Executive Editor Tim King curated this list of notable analytics and data science news for the week of October 11, 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 from the last week, in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy analytics and data science news items.

For early access to all the expert insights published on Solutions Review, join Insight Jam, a community dedicated to enabling the human conversation on AI.

Analytics and Data Science News for the Week of October 11, 2024

Coalesce Partners with Cube on Semantic Layer and Pipeline Dev

Data teams use Coalesce to build and scale their data pipelines with ease. However, one challenge many companies face is the ability to consistently define and maintain business metrics across the organization. Cube addresses this challenge by offering a universal semantic layer that ensures that all teams within a company are working with the same data definitions.

Read on for more

Databricks Announces New Assistant Autocomplete Feature

Directly integrated into the notebook, SQL editor, and AI/BI Dashboards, Assistant Autocomplete suggestions blend seamlessly into your development flow, allowing you to stay focused on your current task.

Read on for more

Domino Data Lab Announces New Domino Governance

Its unique approach automatically orchestrates the fully governed model lifecycle. Domino Governance is the first solution to embed AI governance within the data science workflow — putting policies, evidence and approvals in one place and on schedule for enterprises to quickly and safely innovate.

Read on for more

Lightdash Nabs $11 Million in Venture Capital Funding

The funding will be used to accelerate product development, build additional technical features and functionality, and expand Lightdash’s developer teams in the US and Europe. It will accelerate the adoption of self-serve data analytics for modern teams.

Read on for more

SAP is Updating its Datasphere Product

SAP debuted new data lake capabilities, a new knowledge graph engine and a way to accelerate real-time risk analysis. The capabilities are not available immediately but are expected to debut in the coming months, helping enterprises store, process and drive value from their data quickly and efficiently.

Read on for more

Tredence Secures New AWS Status

Achieving the AWS Travel and Hospitality Competency differentiates Tredence as an AWS Partner with deep domain expertise in Data 360, Digital Customer Engagement, Technology Migration and Modernization, Smart Assets, and Analytics Consulting Services providing strategic guidance and deployment services.

Read on for more

Expert Insights Section

Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam, Solutions Review’s enterprise tech community where the human conversation around AI is happening. The goal? To help you gain a forward-thinking analysis and remain on-trend through expert advice, best practices, predictions, and vendor-neutral software evaluation tools.

The Jam Session On-Demand: Panel of Experts Discuss Why AI Needs Good Semantics, and What to Do About It

This month, Bob Eve and guests Sumit Pal, Nicola Ashkam, and Juan Sequeda discuss the importance of semantics in AI and data management. They get into knowledge graphs and semantic layers to improve data quality, interoperability, and decision-making, and explore challenges in implementing semantic technologies. Watch for practical examples and advice on how businesses can leverage semantics to enhance AI initiatives and data strategies.

Watch on YouTube

Mini Jam LIVE On-Demand: Panel of Experts Discuss Where Companies Go Wrong When Implementing AI and Data Governance

GenAI might help improve data analysis and quality, but new AI initiatives may require re-architecting data systems. The conversation also touches on the benefits of adopting streaming architectures and the importance of balancing comprehensive re-architecting with tactical, incremental improvements.

Watch on YouTube

Mini Jam LIVE On-Demand: Panel of Experts Discuss How Companies Can Actually Use GenAI

Think about generative AI as a “smart intern” – capable but naive. They explore how it can be integrated into various business processes, including risk management and compliance. They also address the challenges of data security and privacy when using AI, emphasizing the need for careful implementation and oversight.

Watch on YouTube

New on Solutions Review Thought Leaders by Samir Sharma: Why Data Isn’t a Silver Bullet – The Real Value in Your Operating Model

For many companies, the harsh truth is that data doesn’t drive value, and many forget that “data” is just an enabler. What drives the value is how you intentionally organize and this is called your “Operating Model.”

Read on Solutions Review

Free Event on October 24 – Neudesic, Microsoft, Databricks & Expert Moderator Wayne Eckerson on Scaling AI with an Intelligent Data Platform:

With the next Expert Roundtable event, the team at Solutions Review has partnered with Neudesic, Microsoft, Databricks, and Eckerson Group to hear from experts at Databricks, Microsoft, and Neudesic as they share practical learnings and best practices to ensure successful AI outcomes. 

Register free on LinkedIn

Free Event on October 29 – Impetus, Copa Airlines, Databricks & Expert Moderator William McKnight on Modernizing Workloads and Unifying Data Governance:

With the next Expert Roundtable event, the team at Solutions Review has partnered with Impetus, Copa Airlines, Databricks, and William McKnight on why enterprises are migrating their data warehouse workloads to Databricks to leverage its unified, scalable platform that enhances analytics and reduces operational costs and provides superior performance and price-performance to competitors like Snowflake.

Register free on LinkedIn

For consideration in future data protection news roundups, send your announcements to the editor: tking@solutionsreview.com.

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nwitimes.comGet Healthy: Carol Slager: Consistent small habits are building blocks of a healthier lifestyleThere is an alternative to the idea of starting 2026 with a grandiose plan of a complete life overhaul. Instead, you can implement….3 hours ago

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