What development of LLM best practices means for the enterprise
Large language models (LLMs) and multimodal AI are the cutting edge of AI innovation, with applications trickling down to the enterprise from the ‘Googles’ and ‘OpenAIs’ of the world. We are currently seeing a barrage of LLM and multimodal AI model announcements, as well as commercial applications created around them.
Read More →JupiterOne scores $70M series C funding, achieves unicorn status
Cloud security solutions are experiencing increased "growth and adoption." Cybersecurity platform JupiterOne is using graphs to capitalize on this.
Read More →Managing disaster and disruption with AI, one tree at a time
Ingesting loads of fine-grained data helps, but it's not enough to make fine-grained predictions. You need domain expertise too, and that's what AiDash is applying for its Disaster and Disruption Management System.
Read More →Could machine learning and operations research lift each other up?
Is deep learning really going to be able to do everything?
Read More →Alation details its data intelligence strategy
Data quality, a subset of data intelligence, is a topic that many enterprise executives are concerned about — with 82% citing data quality as a barrier for their businesses. With many data quality solutions with different approaches available in the market, how do you choose?
Read More →Wayve and Microsoft partner to scale autonomous vehicles
Circa 2017, there was a lot of hype around autonomous driving. If one were to take that at face value, it would mean that by now autonomous driving would have been a reality already. Apparently, that’s not the case and Alex Kendall claims to have known that all along. Still, that did not stop him from setting out then and he’s still working on it today.
Read More →Viable aims to quantify qualitative customer feedback with AI
There is an implicit assumption in most analytics solutions: The data analyzed and the insights derived, are almost exclusively quantitative. That is, they refer to numerical data, such as number of customers, sales and so on.
Read More →Streaming graph analytics: ThatDot’s open-source framework Quine is gaining interest
What do you get when you combine two of the most up-and-coming paradigms in data processing — streaming and graphs? Likely a potential game-changer, at least that’s what is being hinted at by the likes of DARPA and now CrowdStrike’s Falcon Fund, which are betting on ThatDot and its open-source framework Quine.
Read More →SageMaker Serverless Inference illustrates Amazon’s philosophy for ML workloads
Amazon just unveiled Serverless Inference, a new option for SageMaker, its fully managed machine learning (ML) service. The goal for Amazon SageMaker Serverless Inference is to serve use cases with intermittent or infrequent traffic patterns, lowering total cost of ownership (TCO) and making the service easier to use.
Read More →StreamNative releases report with insights into data streaming ecosystem
The appeal of processing data in real-time is on the rise. Historically, organizations adopting the streaming data paradigm were driven by use cases such as application monitoring, log aggregation and data transformation (ETL).
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