With LakeFlow, Databricks users will soon be able to build their data pipelines and ingest data from databases like MySQL, Postgres, SQL Server and Oracle, as well as enterprise applications like Salesforce, Dynamics, Sharepoint, Workday, NetSuite and Google Analytics.
In a way, getting data into a data warehouse or data lake should indeed be table stakes because the real value creation happens down the line.
The first is LakeFlow Connect, which provides the connectors between the different data sources and the Databricks service.
It’s fully integrated with Databricks’ Unity Data Catalog data governance solution and relies in part of technology from Arcion.
Databricks is rolling out the LakeFlow service in phases.
Now rebranded as Mosaic AI, the platform has become integral to Databricks’ AI solutions.
Today, at the company’s Data + AI Summit, it is launching a number of new features for the service.
Databricks is launching five new Mosaic AI tools at its conference: Mosaic AI Agent Framework, Mosaic AI Agent Evaluation, Mosaic AI Tools Catalog, Mosaic AI Model Training, and Mosaic AI Gateway.
And we’ve also found in our internal AI applications, like the assistant applications for our platform, that this is the way to build them,” he said.
But when you really pushed people, they were using Open AI.
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Accepting both applications and referralsWe’re accepting both quality applications and referrals for Startup Battlefield 200.
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Logspace co-founder and CEO Rodrigo Nader previously worked on machine learning problems at enterprise AI company Bitvore, together with co-founder and CTO Gabriel Luiz Freitas Almeida.
“This acquisition will provide current Langflow developers and current DataStax developers additional resources and integrations to elevate their applications to match the scale of their ambitions,” said Chet Kapoor, CEO and chairman of DataStax.
“Langflow is focused on democratizing and accelerating generative AI development for any developer or company, and in joining DataStax, we’re working together to enable developers to put their wild new generative AI ideas on a fast path to production.”The DataStax team argues that this acquisition effectively completes its effort to build a one-stop generative AI stack.
Langflow will continue to operate as a separate entity, so existing users shouldn’t notice any immediate changes.
“We couldn’t be more excited about joining the DataStax team and supercharging our ability to grow the Langflow platform, bringing it to more researchers, developers, enterprises and entrepreneurs working on generative AI applications,” said Nader.
TechCrunch is on the hunt for 200 early-stage founders to feature in the Startup Battlefield 200 at TechCrunch Disrupt in San Francisco this October.
Back in 2022, the Startup Battlefield expanded to include a showcase of the top 200 companies from across the globe.
Apply NowShowcasing global foundersFrom the Startup Battlefield 200, we will select 20 companies for the Startup Battlefield competition.
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That’s the driving idea behind Nile, a startup that aims to create this data system with serverless Postgres at its core.
This could be authentication, billing, and so on.”Unsurprisingly, that’s exactly the problem Nile tries to solve.
The idea here is that every SaaS company has a data layer at its core and since we are talking about SaaS companies, they all have to solve for multi-tenancy in some form or another, no matter whether they are in the B2B or B2C space.
Traditionally, the team argued, solving problems around data and database management was always an application problem rather than a database problem.
Nile is turning this on its head by making multi-tenancy a core feature of its Postgres solution and by separating the data layer from the compute layer.
In an unannounced update to its usage policy, OpenAI has opened the door to military applications of its technologies.
While the policy previously prohibited use of its products for the purposes of “military and warfare,” that language has now disappeared, and OpenAI did not deny that it was now open to military uses.
Unannounced changes to policy wording happen fairly frequently in tech as the products they govern the use of evolve and change, and OpenAI is clearly no different.
It’s a substantive, consequential change of policy, not a restatement of the same policy.
Even a strict “no military” policy has to stop after a few removes.
It’s been over a decade since the first application for a spot bitcoin ETF was filed.
After a number of denials over the years, the U.S. Securities and Exchange Commission has approved all 11 applications from spot bitcoin ETF issuers, marking a potential watershed moment for the crypto industry and potentially opening the floodgates by making it easier for institutional investors and consumers alike to invest in the biggest digital asset.
The issuers are BlackRock’s iShares Bitcoin Trust, Grayscale Bitcoin Trust, ARK 21Shares Bitcoin ETF, Bitwise Bitcoin ETP Trust, WisdomTree Bitcoin Fund, Fidelity Wise Origin Bitcoin Trust, VanEck Bitcoin Trust, Invesco Galaxy Bitcoin ETF, Valkyrie Bitcoin Fund, Hashdex Bitcoin ETF and Franklin Bitcoin ETF.
In 2021, BITO, the first bitcoin-linked futures ETF in the U.S., launched and immediately saw a lot of demand during its first year.
It eventually grew to become one of the largest and most traded crypto ETFs., according to ProShares data.
As AI applications continue to proliferate across industries, they hold the promise of revolutionizing customer experience, optimizing operational efficiency, and streamlining business processes.
In recent years, concerns about ethical, fair, and responsible AI deployment have gained prominence, highlighting the necessity for strategic oversight throughout the AI life cycle.
The rising tide of AI applications and ethical concernsThe proliferation of AI and ML applications has been a hallmark of recent technological advancement.
AI governance has emerged as the cornerstone for responsible and trustworthy AI adoption.
Strong ethical and risk-management frameworks are essential for navigating the complex landscape of AI applications.
