Fabian Cortes

How mature is your organization's data? Our own Susan Laine, Chief Field Technologist, sat down with BI-Platform to discuss our 7-step approach to data maturity. If you're looking to unlock more from your data or build a strong foundation for AI, don’t miss Susan’s deep dive into data maturity, quality, and innovation. Check out the full interview here 👉 https://okt.to/y42XgL #DataIntelligence #DataMaturity #DataMarketplace #AI #DataQuality

33

Forrester's latest Wave report on AI Foundation Models for Language evaluates ten key actors as of Q2 2024. Despite incremental model performance improvements on benchmarks, model skills alone are not enough for enterprise AI success, the paper notes. AI foundation model providers must overcome hype and deliver on multiple fronts to create commercial value: 1. A strategy that meets industry needs, including infrastructure investment to use foundation models in enterprise AI application development. Language and multimodal comprehension of aural and visual media must be included in core competencies. 2. Strong configuration and governance that reduces hallucinations and aligns model outputs with business facts, brand expression, and company values. Responsible AI requires prompt engineering, deployment management, and access controls. 3. Contractual agreements, clarity about training data origins, and IP protection. Data security must be prioritized. 4. Enterprise-grade performance, reliability, elastic scalability, high fault tolerance, and low latency to gracefully handle utilization surges. Uptime is crucial for mission-critical applications using foundation models. Forrester ranks Google, Databricks, NVIDIA, and IBM as Leaders and OpenAI, AWS, and Microsoft as Strong Performers. Contenders include Anthropic and Cohere. Each has unique traits and fits a different enterprise AI maturity profile. Google's Gemini architecture and Google Cloud ecosystem had exceptional context length, multimodality, and multilingual capabilities. Databricks makes bespoke model training and foundation model use easier. Many additional suppliers use GPU-optimized NVIDIA Nemotron models. Granite models from IBM emphasize governance and trust. OpenAI, which popularized generative AI, leads in raw performance. It can improve its enterprise infrastructure. Phi and Titan are Microsoft and AWS's proficient models. Their priority is facilitating access to different models. Constitutional AI concepts of Anthropic and knowledge retrieval concentration of Cohere are intriguing differentiators. https://lnkd.in/dWAUBepC

2

Announcing new capabilities for VantageCloud Lake and ClearScape Analytics that make it possible for enterprises to easily implement and see immediate ROI from generative AI (GenAI) use cases. By adding bring-your-own LLM (BYO-LLM) Teradata customers can take advantage of small or midsized open LLMs, including domain-specific models and NVIDIA accelerated compute. Learn more: http://ms.spr.ly/6048mQxuY

254

2 Comments

The journey to transformation with analytics and AI can only be navigated with strong data governance and management. Kubrick is helping organizations manage the growing volume, complexity, and sources of their data, creating a roadmap for unparalleled data intelligence that ensures transparency, compliance, and trust. See how we deliver advanced data lineage capability that removes siloes, automates processes for instant insight, and empowers downstream analytics: https://lnkd.in/eVumbevv Want to learn more? Get in touch: [email protected] #datalineage #datamangement #datagovernance

5

1 Comment

Ready to evaluate your LLM? 🚀🚀🚀 Follow the path to a production-ready generative AI with Snorkel AI. Get key insights from Snorkel AI’s Product Lead Vincent Sunn Chen, who will show you how to use data slices to identify where your LLM succeeds, and where your training data needs further development. 🔗 https://lnkd.in/e45QYMhi #GenerativeAI #llm #SnorkelAI

22

🤖 How Does Data Modeling Influence Your AI & ML Strategy? Check out this brief video where Keith Belanger, Product Evangelist at SqlDBM, sits down with Ryan C. Green from Snowflake to discuss the pivotal role of structured data modeling in driving success with AI and ML. 🎬 Watch the full video here: https://lnkd.in/ga45cUyK #datacloud #dataarchitecture #datadriven

6

Learn how Clarifai stacked up in Forrester's latest assessment of enterprise-level #computervision tools. We received top scores possible in 23 of 28 criteria, including data management, model development, model inferencing, architecture, vision, innovation, roadmap, and partner ecosystem. Read the #Forrester Wave™: Computer Vision Tools, Q1 2024 report to find the best CV platform for your needs. https://hubs.ly/Q02Sw3H00 #VisualInspection #ContentModeration

1

Are you considering a move to the Snowflake #DataCloud? This free guide from Passerelle outlines three core steps for implementing a modern data strategy with Snowflake. Hear first-hand from two regional banking institutions on how (and why!) they made the journey to data modernization. Read on to learn: 🔹 Five questions to ask when assessing your current data management practices 🔹 How to identify data champions and first use cases 🔹 How to create a single source of truth with your data 🔹 How to establish data access and security that promotes data accessibility in your organization 🔹 How Renasant Bank has modernized its marketing by activating their data with GrowthLoop's #composableCDP

11

2 Comments

Every successful journey begins with a plan, and a good plan is informed by experience and insight. Hakkoda wrapped our expertise and research into a framework called The Data Innovation Journey, enabling organizations to deliver pragmatic solutions to real world problems. Chart your path to data maturity 👉 https://lnkd.in/gTYb_DtJ

17

💡 How can Unity Catalog help organizations bridge the gap between data discovery and execution? In this fireside chat, Denny Lee (Databricks) and Robert Pack from BASF discuss: ✅ Tackling policy inconsistencies in data governance ✅ Ensuring compliance with the EU AI Act ✅ Exciting innovations like Iceberg support and REST API enhancements Watch the full conversation 👉 https://lnkd.in/dw3VdYBM #linuxfoundation #lfaidata #unitycatalog #opensource #oss

18

Ontologies are crucial for unlocking information. However, similar types have been created for different needs, reducing interoperability. Check out our blog, which looks at some of the automated approaches for large-volume ontology mapping. http://spkl.io/6041f6ktx #Ontology #OntologyMapping

4

🔍 What are the most effective approaches for getting started with data mesh? Dive into our "Getting Data Mesh Buy-In" whitepaper to uncover the answer and other findings: https://bit.ly/42iZTo6 #DataMesh

1

Join us on June 20th at Stanford University for an insightful keynote session hosted by Kevin Fleet, Vice President, Technical Sales Strategy & Operations at Informatica - “Navigating New Frontiers in Generative AI and Data Management”. Explore the transformative impact of generative AI across various industries with Kevin Fleet, moderated by County of Santa Clara CIO, Khalid Turk MBA, PMP, PMI-ACP, CHCIO, CDH-E, ITIL. This session will dive deep into: Key data management challenges and the importance of delivering holistic, trusted, and governed data for AI. Real-world use cases, including building new revenue streams and personalized customer experiences. Cutting-edge AI and data strategies. Ethical considerations in AI-driven content generation, and tackling misinformation and intellectual property concerns. Kevin brings over 25 years of experience in data management, spanning industries such as Manufacturing, Technology Services, Life Sciences, Financial Services, and Healthcare. As VP of Technical Sales Strategy & Operations at Informatica, he oversees the global rollout of strategic go-to-market offerings and supports Informatica's Technical Sales Organization. Previously, Kevin led Strategic Growth Initiatives and Advisory Services at Informatica and served as Executive Director of Global Data Management at Pfizer. He holds a BA in Economics from UC San Diego and is a renowned thought leader in the industry. Don’t miss this opportunity to gain valuable insights and network with industry leaders. See you there! https://lnkd.in/eehwFGnR #GenerativeAI #DataManagement #AI

57

1 Comment

Meet Orion!🧑‍🚀 Getting your data questions answered doesn’t have to be difficult! Ask Orion and get insights instantly—it's fast and easy. Check out how our #GenAI functionality helps businesses make smarter, faster decisions using real-time customer data. Unlock the power of GenAI and transform your data strategy! Try it first hand at #FSTEC! Visit booth #507 Informa Connect Foodservice

13

Institutional investors need to modernize their data architecture for AI success, but knowing where to start can be daunting. Learn from industry experts Natalie Sendele, Continuus Co-CDO, and Bryan Lenker, Snowflake Field CTO, about evolving data strategies, leveraging Snowflake and achieving impactful results with modern data architecture. Check out our short webinar to explore incremental implementation approaches, the role of experienced partners in data strategy and architecture, and how to harness AI for business insights. https://hubs.la/Q02LQGfP0

14

Register for the Financial Services AI Demo Day virtual event to see what financial organizations are building with Snowflake's AI Data Cloud as they pivot from enterprise AI proof of concepts to implementation. Learn how to tap into and fully utilize your entire data estate – from structured data to unstructured data – to power AI use cases.

74

1 Comment

Out: Spreadsheet analytics In: Automated reports and real-time insights With centralized, reliable insight into key metrics, @Aurecon can run its business at maximum health and efficiency: https://slalom.ws/3TFEthM

8