Databricks

Databricks Launches Data Intelligence Platform for Energy, Bringing Generative AI Capabilities to the Energy Sector

Retrieved on: 
Tuesday, April 9, 2024
Knowledge, CONNECT, Seeq, Octopus Energy, Energy market, Databricks, Organization, Wind, Carbon, LLM, BKO, IP, Catalog, TotalEnergies, AVEVA, Chevron Phillips Chemical, Partner, AMI, Australian Energy Market Operator, Data analysis, Internet of things, Risk, SAN, SVP, Smart meter, Anomaly, Utility, Energy, Privacy, Weather, Shell, AEMO, Digital, Industrial internet of things, Blog, AI, Architecture, Machine learning, Knowledge base, Forecasting, Growth, Transport, Natural Resources, IDEA, Digital twin, ETL, Ecosystem, Renewable energy

SAN FRANCISCO, April 9, 2024 /PRNewswire/ -- Databricks, the Data and AI company, today announced the Data Intelligence Platform for Energy, a unified platform bringing the power of AI to data and people across the energy sector. Built on an open lakehouse architecture, Databricks' Data Intelligence Platform for Energy enables enterprises to harness vast streams of energy data and develop generative AI applications without sacrificing data privacy or their confidential IP. Energy leaders gain a holistic view into their operations in real time to preemptively address maintenance needs, reduce unplanned downtime, accurately forecast energy generation, and take action for a more efficient, sustainable future.

Key Points: 
  • New Databricks offering provides pre-built accelerators, marketplace solutions, and an ecosystem of partner capabilities tailored to organizations across the energy industry
    SAN FRANCISCO, April 9, 2024 /PRNewswire/ -- Databricks , the Data and AI company, today announced the Data Intelligence Platform for Energy, a unified platform bringing the power of AI to data and people across the energy sector.
  • Built on an open lakehouse architecture, Databricks' Data Intelligence Platform for Energy enables enterprises to harness vast streams of energy data and develop generative AI applications without sacrificing data privacy or their confidential IP.
  • Databricks' Data Intelligence Platform for Energy plays a key role in this, allowing us to process and analyze large data sets generated by smart meters," said David Sykes, Head of Data at Octopus Energy.
  • For more information about the Data Intelligence Platform for Energy, read the Databricks blog or visit Databricks' Energy Industry homepage .

Databricks Launches Data Intelligence Platform for Energy, Bringing Generative AI Capabilities to the Energy Sector

Retrieved on: 
Tuesday, April 9, 2024
Knowledge, CONNECT, Seeq, Octopus Energy, Energy market, Databricks, Organization, Wind, Carbon, LLM, BKO, IP, Catalog, TotalEnergies, AVEVA, Chevron Phillips Chemical, Partner, AMI, Australian Energy Market Operator, Data analysis, Internet of things, Risk, SAN, SVP, Smart meter, Anomaly, Utility, Energy, Privacy, Weather, Shell, AEMO, Digital, Industrial internet of things, Blog, AI, Architecture, Machine learning, Knowledge base, Forecasting, Growth, Transport, Natural Resources, IDEA, Digital twin, ETL, Ecosystem, Renewable energy

SAN FRANCISCO, April 9, 2024 /PRNewswire/ -- Databricks, the Data and AI company, today announced the Data Intelligence Platform for Energy, a unified platform bringing the power of AI to data and people across the energy sector. Built on an open lakehouse architecture, Databricks' Data Intelligence Platform for Energy enables enterprises to harness vast streams of energy data and develop generative AI applications without sacrificing data privacy or their confidential IP. Energy leaders gain a holistic view into their operations in real time to preemptively address maintenance needs, reduce unplanned downtime, accurately forecast energy generation, and take action for a more efficient, sustainable future.

Key Points: 
  • New Databricks offering provides pre-built accelerators, marketplace solutions, and an ecosystem of partner capabilities tailored to organizations across the energy industry
    SAN FRANCISCO, April 9, 2024 /PRNewswire/ -- Databricks , the Data and AI company, today announced the Data Intelligence Platform for Energy, a unified platform bringing the power of AI to data and people across the energy sector.
  • Built on an open lakehouse architecture, Databricks' Data Intelligence Platform for Energy enables enterprises to harness vast streams of energy data and develop generative AI applications without sacrificing data privacy or their confidential IP.
  • Databricks' Data Intelligence Platform for Energy plays a key role in this, allowing us to process and analyze large data sets generated by smart meters," said David Sykes, Head of Data at Octopus Energy.
  • For more information about the Data Intelligence Platform for Energy, read the Databricks blog or visit Databricks' Energy Industry homepage .

Dataiku Launches Generative AI Cost Monitoring Solution to Give Enterprises Real-Time Oversight of Their Spend

Retrieved on: 
Wednesday, March 13, 2024
Cloud, Microsoft, Synthetic media, Azure, Organization, OpenAI, Growth, Clã, Databricks, IDC, AI, LLM, Amazon Web Services, Investment, Google Cloud Platform, Generative, Cohere

Responding to this challenge, Dataiku today announced the launch of its dedicated cost monitoring solution, LLM Cost Guard, a new component of the Dataiku LLM Mesh.

Key Points: 
  • Responding to this challenge, Dataiku today announced the launch of its dedicated cost monitoring solution, LLM Cost Guard, a new component of the Dataiku LLM Mesh.
  • LLM Cost Guard enables effective tracing and monitoring of enterprise LLM usage to better anticipate and control Generative AI costs.
  • With Generative AI forecasted to capture 55% of AI spend by 2030, ensuring that Generative AI initiatives are backed by a strong financial justification presents a critical area of investment.
  • Attend the next Generative AI Bootcamp on March 18, 2024 : Using LLMs for Enterprise Use Cases: How Much Does It Really Cost?

Foundry Raises $80 Million in Seed and Series A Funding to Build a New Breed of Public Cloud

Retrieved on: 
Thursday, March 21, 2024
Internet, Data Management, Technology, Artificial Intelligence, Software, Deep learning, Computational biology, GPU, LG, Speed of light, MIT, Databricks, Pear VC, AI, Stanford University, Conviction, Civilization, M12 (venture capital), Lightspeed Venture Partners, Ecosystem, NEA, KKR, Economics, Sequoia Capital

Today, Foundry , a new breed of public cloud for AI/ML workloads, announced $80M in seed and Series A funding to orchestrate the world’s compute capacity, rendering it universally accessible and useful.

Key Points: 
  • Today, Foundry , a new breed of public cloud for AI/ML workloads, announced $80M in seed and Series A funding to orchestrate the world’s compute capacity, rendering it universally accessible and useful.
  • Foundry is building to ensure humanity maximizes the utility of the computing power we already have, and will produce.
  • Foundry’s innovative methods are solving these issues by providing scalable GPU instances with unmatched price-performance ratios.
  • If you are interested in becoming a customer or partner, or joining the team, please visit the company’s website .

Europe Leaps Ahead in Global AI Arms Race, Joining $20 Million Investment in NeuReality to Advance Affordable, Carbon-Neutral AI Data Centers

Retrieved on: 
Tuesday, March 19, 2024
Environment, Mobile, Wireless, Technology, Security, Other Technology, Software, Green Technology, Internet, Data Management, Artificial Intelligence, Conservative Party (United States), European Innovation Council, GPU, Growth, Natural language processing, XT, OurCrowd, Databricks, NR1, Qualcomm, Cleveland Avenue, Supermicro, PCI Express, Campaign, IBM, Compatibility, Generative, Graphics processing unit, NIC, Investment, EIC, European, Innovation system, AMD, Multimedia, Hebrew Bible, Central processing unit, Government, CPU, TSMC, Medical device

View the full release here: https://www.businesswire.com/news/home/20240319442956/en/

Key Points: 
  • View the full release here: https://www.businesswire.com/news/home/20240319442956/en/
    NeuReality co-founders (left to right) Yossi Kasus, Moshe Tanach, Tzvika Shmueli (Photo: Business Wire)
    This $20 million raise brings NeuReality’s total funding to $70 million.
  • NeuReality’s efficient AI-centric system architecture enables companies to run generative AI applications and large language models (LLMs) without overinvesting in scarce and underutilized GPUs.
  • By connecting directly to Ethernet, NR1 efficiently manages AI queries from vast data pipelines originating from millions of users and billions of devices.
  • The additional $20 million propels NeuReality for broader AI Inference deployment as both conventional and generative AI applications surge in demand.

Unstructured Raises $40M Series B From Menlo Ventures, Databricks Ventures, IBM Ventures and NVIDIA to Make Enterprise Data LLM-ready

Retrieved on: 
Thursday, March 14, 2024
Software, Technology, Artificial Intelligence, Data Management, Aircraft, Azure, Organization, Software as a service, BCV, Partnership, Databricks, RAG, Menlo Ventures, AI, AWS, LLM, Architecture, Hallucination, Machine learning, NVIDIA, Corporate development, Cryptocurrency

Tim Tully of Menlo Ventures joined the board of directors as part of the investment, which brings the company’s total capital raised to $65 million.

Key Points: 
  • Tim Tully of Menlo Ventures joined the board of directors as part of the investment, which brings the company’s total capital raised to $65 million.
  • Unstructured will leverage this new injection of capital to grow its team and accelerate its development of data preprocessing tooling for LLMs.
  • This includes files such as emails, documents, images, videos, and other data organizations historically haven’t been able to use at scale, in conjunction with machine learning.
  • Addressing this critical gap, Unstructured is the first and only company that can ingest and pre-process all unstructured data into formats ready for use with foundation models.

NEA Appoints Lila Tretikov Partner, Head of AI Strategy

Retrieved on: 
Wednesday, March 13, 2024
Professional Services, Business, Technology, Finance, Asset Management, Artificial Intelligence, Foundation (nonprofit), CIO, Microsoft, GTM, Volvo, Organization, IPP, Growth, Wikimedia Foundation, Lila Tretikov, Woman, Intelligence, United, San Francisco Chronicle, Databricks, SugarCRM, Knowledge, Ethics, Climate, United Nations, Xylem, Entrepreneurship, AI, University, Planning, Biology, Robotics, Engineering, NEA, Perception, Engie, Car, Stanford University, Multimedia, Medicine, Management

New Enterprise Associates, Inc. (NEA) announced today that Lila Tretikov has joined the firm as Partner, Head of AI Strategy.

Key Points: 
  • New Enterprise Associates, Inc. (NEA) announced today that Lila Tretikov has joined the firm as Partner, Head of AI Strategy.
  • In her newly created role at NEA, Tretikov will spearhead the firm’s strategy to advance AI innovation, adoption and implementation across its portfolio and investing practices, as well as pursue new investment opportunities.
  • View the full release here: https://www.businesswire.com/news/home/20240313803759/en/
    NEA Appoints Lila Tretikov Partner, Head of AI Strategy (Photo: Business Wire)
    “Lila is a leading global AI expert with an extraordinary depth of knowledge, from the most esoteric technical details to productization to its sweeping impact on humanity.
  • Earlier in her career, Tretikov founded several companies in the U.S. and Europe that went public or were successfully acquired.

Prophecy Announces Prophecy University - Enables More Data Users to Transform Data on Databricks and Spark

Retrieved on: 
Wednesday, April 3, 2024
Entrepreneurship, Databricks, Salesforce, Blog, Confluence, AI, Student, Data, PALO, UI, Nursing

PALO ALTO, Calif., April 3, 2024 /PRNewswire/ -- Prophecy - provider of the low-code data transformation platform - today announced the immediate availability of Prophecy University, a new online learning center designed to help data engineers and businesses become more productive with data. With a low-code, visual interface, Prophecy has long been committed to democratizing data engineering by enabling all data users to transform data on their own. Prophecy University's courseware enables data engineers, data analysts, and data scientists to take part in driving data transformation across the enterprise and addresses the growing data engineering skills gap head-on.

Key Points: 
  • With a low-code, visual interface, Prophecy has long been committed to democratizing data engineering by enabling all data users to transform data on their own.
  • Prophecy University's courseware enables data engineers, data analysts, and data scientists to take part in driving data transformation across the enterprise and addresses the growing data engineering skills gap head-on.
  • The first available course is designed to empower data engineers working with Databricks and Spark to scale up quickly while educating all data users on how to transform raw data into data that is fit for AI and analytics.
  • In the first course titled Prophecy for Data Engineering: Low-code Data Transformation , students will:
    To learn more about Prophecy or to sign up for the course, visit https://www.prophecy.io/prophecy-university

Databricks Launches DBRX, A New Standard for Efficient Open Source Models

Retrieved on: 
Wednesday, March 27, 2024
Cloud, Azure, Google Cloud, Mosaic, Face, Databricks, LLM, Zoom, IP, Catalog, Allen Institute, Intellectual property, Artificial intelligence, Allen Institute for AI, Microsoft, Hugging Face, Logic, Synthetic media, Replit, SQL, Science, SAN, ISG, AWS, Mega Brands, Language, Privacy, Data management, Microsoft Azure, Organization, Data, Intelligence, RAG, Research, Blog, AI, Senior, GitHub, Architecture, Accenture, Economics, Moe, AI2, NVIDIA, Generative, Llama, Medical device

SAN FRANCISCO, March 27, 2024 /PRNewswire/ -- Databricks, the Data and AI company, today announced the launch of DBRX, a general purpose large language model (LLM) that outperforms all established open source models on standard benchmarks. DBRX democratizes the training and tuning of custom, high-performing LLMs for every enterprise so they no longer need to rely on a small handful of closed models. Available today, DBRX enables organizations around the world to cost-effectively build, train, and serve their own custom LLMs.

Key Points: 
  • "We're excited about DBRX for three key reasons: first, it beats open source models on state-of-the-art industry benchmarks.
  • Second, it beats GPT-3.5 on most benchmarks, which should accelerate the trend we're seeing across our customer base as organizations replace proprietary models with open source models.
  • DBRX sets a new standard for open source models, enabling customizable and transparent generative AI for all enterprises.
  • A recent survey from Andreessen Horowitz found that nearly 60 percent of AI leaders are interested in increasing open source usage or switching when fine-tuned open source models roughly match performance of closed source models.

Databricks Launches DBRX, A New Standard for Efficient Open Source Models

Retrieved on: 
Wednesday, March 27, 2024
Cloud, Azure, Google Cloud, Mosaic, Face, Databricks, LLM, Zoom, IP, Catalog, Allen Institute, Intellectual property, Artificial intelligence, Allen Institute for AI, Microsoft, Hugging Face, Logic, Synthetic media, Replit, SQL, Science, SAN, ISG, AWS, Mega Brands, Language, Privacy, Data management, Microsoft Azure, Organization, Data, Intelligence, RAG, Research, Blog, AI, Senior, GitHub, Architecture, Accenture, Economics, Moe, AI2, NVIDIA, Generative, Llama, Medical device

SAN FRANCISCO, March 27, 2024 /PRNewswire/ -- Databricks, the Data and AI company, today announced the launch of DBRX, a general purpose large language model (LLM) that outperforms all established open source models on standard benchmarks. DBRX democratizes the training and tuning of custom, high-performing LLMs for every enterprise so they no longer need to rely on a small handful of closed models. Available today, DBRX enables organizations around the world to cost-effectively build, train, and serve their own custom LLMs.

Key Points: 
  • "We're excited about DBRX for three key reasons: first, it beats open source models on state-of-the-art industry benchmarks.
  • Second, it beats GPT-3.5 on most benchmarks, which should accelerate the trend we're seeing across our customer base as organizations replace proprietary models with open source models.
  • DBRX sets a new standard for open source models, enabling customizable and transparent generative AI for all enterprises.
  • A recent survey from Andreessen Horowitz found that nearly 60 percent of AI leaders are interested in increasing open source usage or switching when fine-tuned open source models roughly match performance of closed source models.