Analytics and Data Science News for the Week of October 25; Updates from Starburst, UC San Diego, Cambridge Advance Online & More
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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 25, 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.
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Analytics and Data Science News for the Week of October 25, 2024
Airbyte Enhances Databricks Integration
Airbyte enables organizations to replicate data from any source into the Databricks Data Intelligence Platform in minutes, with post-load transformation capabilities. This integration allows organizations to efficiently manage large volumes of structured and unstructured data efficiently, ensuring timely access to insights necessary for informed decision-making.
Anthropic AI Now Writes and Runs Code
The capability is tailored to software developers and represents a move toward AI agents, programs that require little human intervention to carry out multi-step actions. Researchers have?touted?agents as a frontier for AI development beyond chatbots, which easily conjure prose or computer code though not actions.
Cambridge Advance Online Opens Registration for New 2025 Data Science and ML Courses
The program provides professionals the opportunity to engage with courses tailored to topics including generative AI, big data, natural language processing (NLP), and human-computer interaction (HCI). They are structured to equip participants with practical, business-oriented skills in data science and machine learning, using current advancements in technology and learning design.
DataRobot Finds Only 34 Percent of AI Pros Equipped to Meet Goals
Nearly 700 AI practitioners and AI leaders worldwide were surveyed using a combination of qualitative and quantitative research. The survey captured feedback from a wide range of roles and seniority levels — Data Scientists, ML Engineers, DevOps, IT professionals, and more — across organizations at various stages of AI maturity.
Oxla Nabs $11 Million in Seed Funding for Hi-Volume Analytic Data Processing
With ten times faster analytical query execution speeds and up to 85 per cent lower costs compared to data warehouses from Snowflake, Databricks, or ClickHouse, Oxla is ideally suited for data-intensive workloads across IoT, industrial applications, e-commerce, and cybersecurity.
Starburst Announces Fast Streaming Ingest from Kafka to Iceberg
Galaxy customers can now easily configure and ingest data at a verified scale of up to 100GB/second per Iceberg table at leading price-performance. In addition, Galaxy users can now benefit from faster and more accurate auto-scaling of resources, simplified policy-based routing of user queries, and enhanced performance through improved automatic caching and indexing.
领英推荐
UC San Diego Launches School of Computing, Information and Data Sciences
Actionable knowledge, or information that can assess situations and take action to solve real-world problems, is core to the new school. SCIDS seeks to lead innovations that will help educate a workforce of the future and improve the human condition by educating the next generation of highly skilled workers who will drive the application of AI.
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.
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.
Solutions Review Set to Host Infragistics for an Exclusive Spotlight Webinar on Custom Embedded BI Solutions, November 6
Hear from industry expert Jason Beres, VP of Developer Tools, and discover how the Visualization Catalog allows you to create a library of reusable visualizations, making the process of building dashboards and generating insights faster and easier.
SR Expert @ Insight Jam Dr. Joe Perez: From Atomic Warfare to Data Warfare
This story of the Centurion Tank serves as a compelling metaphor for the world of data analytics. Just as the tank weathered the storm of an atomic explosion and emerged stronger, organizations today harness the power of data analytics to navigate through the chaos of information overload and make strategic decisions that can determine their future. Let’s explore four core principles of data analytics that echo the journey of our “Atomic Tank,” revealing not just the mechanics of data but also the profound impact it can have when wielded effectively.
SR Expert @ Insight Jam John Santaferraro: Unleashing the Power of Generative AI for Data and Analytics - Part 2
Just as enterprise metadata governance and management are fundamental to enabling safe, scalable, and compliant analytics solutions, they are equally foundational for the use of AI and automation. Given access to metadata, generative AI can govern the use of data and ultimately produce more accurate insights for users that are often unaware of the importance of governance.
SR Expert @ Insight Jam Bob Eve: Analytics 2025: Ignore These Trends at Your Peril
With 2025 around the corner and AI’s disruptions continuing, Albert Einstein’s wise counsel above seems especially prescient for every technology leader today. And perhaps most relevant to leaders in the analytics domain. New thinking is required. New capabilities must be considered. New investments need to be made.
For consideration in future data protection news roundups, send your announcements to the editor: [email protected].