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The future of MySQL is Postgres, which should be concerning.
The future of MySQL is Postgres, which should be concerning.
Prodvana, known for its innovative approach to simplifying cloud-native environment complexities, brings expertise in managed delivery, infrastructure insights, and self-healing capabilities
It has achieved remarkable success, from Jaipur to becoming a global company with presence in USA, India, APAC, UAE, Europe, & Canada.
The influx of AI systems has highlighted the importance of data within businesses, with many pivoting towards actually utilising the data they generate on a day-to-day basis.
“We believe that compound AI systems will be the best way to maximise the quality, reliability, and measurement of AI applications going forward, and may be one of the most
Nick Eayrs told AIM that the emphasis on data engineering over AI is essential to build a solid data foundation necessary for effective AI implementation.
OpenAI has more than doubled its annualised revenue to $3.4 billion in the past six months.
“Stop giving your data to vendors. It doesn’t matter if it’s a proprietary data warehouse in the cloud, or if it’s Snowflake or even Databricks.”
“We’re actually very picky. I spend time on acquisitions every week, and we pass on companies all the time,” said Ali Ghodsi, CEO and co-founder of Databricks.
NVIDIA chief Jensen Huang too believes that the best way to get started in AI today is to come to Databricks’ Data Intelligence Platform.
“Doubling training costs yields only a 1% quality improvement,” says Databricks CTO Matei Zaharia.
Databricks envisions bringing both Delta Lake and Iceberg formats closer in the future to a point where their differences won’t matter.
“AI is the future, there’s no doubt about that. If CEOs are not aligned with this, I don’t think they’ll become CEOs in the future.”
Zaharia believes that open-source models are narrowing the gap, while the best closed models haven’t improved much.
It consists of AI/BI Dashboards, a low-code interface for quickly creating interactive dashboards, and AI/BI Genie, a conversational interface that uses natural language to address ad hoc and follow-up questions.
ImageAI leverages advanced capabilities of Databricks Mosaic AI and was trained exclusively on Shutterstock’s vast repository of curated, high-quality images
With LakeFlow, data teams can now easily ingest data from databases such as MySQL, Postgres, and Oracle, as well as Salesforce, Dynamics, Sharepoint, Workday, NetSuite, and Google Analytics.
The partnership aims to boost the efficiency, accuracy, and performance of AI development pipelines for modern AI factories.
“We’re excited to open source Unity Catalog to drive the industry forward to an open standard for data and AI governance that gives customers openness and flexibility,” says Databricks chief
The new Mosaic AI capabilities are part of Databricks’ ongoing commitment to helping customers harness the power of genAI while maintaining data privacy, quality, and cost-effectiveness.
Shutterstock will provide instant access to a free 1,000-image sample dataset from its vast 550M+ library on Databricks’ Marketplace.
The acquisition of Tabular follows that of Arcion for $100 million and MosaicML for $1.3 billion in 2023 and Okera in 2023, to expand its capabilities in data management, AI,
Since last fall, Databricks has invested in six AI-focused companies: Anomalo, Cleanlab, Glean, Mistral AI, Perplexity, and Unstructured.
This is the first of several India-specific models trained by Ola Krutrim, delivering text infused with Indian sensibilities and cultural awareness.
Llama 3 models are now also rolling out on Amazon SageMaker, Google Cloud, Hugging Face, Kaggle, IBM WatsonX, Microsoft Azure, NVIDIA NIM, and Snowflake.
Databricks is aiding UPL’s sustainable agriculture products and solutions in 138 countries with capabilities like demand forecasting.
Organisations like Shell, Octopus Energy, Australian Energy Market Operator (AEMO), and Chevron Phillips Chemical are some early adopters.
“Krutrim took a risk to be one of the first with a native model, but more work is needed…,” says Databricks generative AI head.
Databricks’ SOTA open-source model, DBRX 132B, is 20 times more cost-effective than GPT-4 for 1 million token outputs.
Krutrim has been working closely with the Databricks team to pre-train and fine-tune their foundational LLM.
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