Pepperdata, a provider of tools that optimize IT infrastructure for computation, has seen a lot of trends come and go over the years. Now organizations are using the company’s tools to optimize infrastructure to process AI models.
Read More
yligence today announced it has updated its analytics platform to include support for the open source ClickHouse online analytics process (OLAP) engine based on a columnar architecture commonly used in a wide range of applications.
Read More
A global survey published today finds nearly a third (31%) of respondents consider the social impact of bias in models to be AI’s biggest challenge. This is followed by concerns about the impact AI is likely to have on data privacy (21%). More troubling, only 10% of respondents said their organization has addressed bias in AI, with another 30% planning to do so sometime in the next 12 months.
Read More
IBM distinguished engineer and chief data scientist John Thomas contends that for organizations to really embrace AI, they need to adopt a factory model that automates as much of the model building process as possible. Just like a traditional factory would create physical products reliably at scale and at speed, an AI factory would enable businesses to quickly build and scale trustworthy AI models.
Read More
Master data management (MDM) has historically been a murky area many organizations simply ignored. In fact, no one is still quite sure who is responsible for data quality within many organizations. But data quality has become an increasingly critical issue as organizations look to improve the customer experience and lay the groundwork for investments in AI.
Read More
Red Hat and KPMG LLP today revealed they are working together to make the Red Hat OpenShift platform, which is based on Kubernetes, a foundational core of the KPMG Ignite AI platform.
The KPMG Ignite platform combines machine learning algorithms with document ingestion and optical character recognition capabilities to analyze both structured and unstructured data. Kubernetes has emerged as a preferred foundation for building AI platforms because it makes it simpler to dynamically orchestrate the consumption of IT infrastructure on behalf of containerized applications.
Read More
omino Data Lab, a pioneer provider of a machine learning operations (MLOps) platform, is making it easier for data scientists to manage code at a time when providers of DevOps platforms are starting to contend AI models as just another software artifact that needs to be managed within the context of any application development project.
Read More
Signal AI, which offers a decision augmentation platform infused with AI, interviewed 1,000 C-suite executives in the U.S. for the study. The report found 85% of respondents estimate upwards of $4.26 trillion in revenue is being lost because organizations lack access to AI technologies to make better decisions faster.
Read More
ThoughtSpot has expanded the number of backend data sources. Use speech interfaces to make its platform even more accessible to end users.
Read More
DataRobot revealed yesterday during an online AI Experience Worldwide conference that it has acquired Zepl as part of a larger effort to enable data scientists to customize AI models developed on its platform. Zepl created an open source Apache Zepyl notebook that enables data scientists to collaboratively develop and analyze code written in Python, R, or Scala.
Read More
IBM announced this week that it is acquiring Turbonomic, provider of application resource management (ARM) and network performance management (NPM) software infused with machine learning algorithms. Terms of the acquisition, which is expected to close this quarter, were not disclosed.
Read More
BoostUp.ai, provider of a software-as-a-service (SaaS) platform for managing revenue operations (revenue ops) infused with AI capabilities, today announced it has garnered $6 million in additional series A funding, bringing its total raised to $14 million, after an initial seed round last year.
Read More
Adobe today unfurled an enhanced Adobe Customer Journey Analytics cloud service that enables organizations to apply AI to data from both online and offline sources to gain deeper insights into customer behavior. Available as an extension to the Adobe Experience Platform, the Adobe Customer Journey Analytics service extends the analytics capabilities based on its Sensei AI platform that is already widely employed to track online engagements into the realm of data collected offline.
Read More
Pegasystems today announced it’s adding the ability to apply AI to business processes midstream to enable companies to determine whether an anticipated outcome will occur as expected.
Read More
During its digital Ataccama Innovate 2021 event, Ataccama today announced general availability of the next major upgrade to its data management platform, which relies on an expert system and machine learning algorithms to automate processes.
Read More
Dataiku expands its effort to make AI accessible to the average business user with an update that makes it possible to run what-if simulations of AI models to determine how changes to the data they are based on will impact them.
Read More
Aunalytics announced an update to its Daybreak for Financial Services platform that employs machine learning algorithms to enable midrange banks and credit unions to more easily analyze data.
Read More
Dan Wright just became CEO of DataRobot, a company valued at more than $2.7 billion that is promising to automate the building, deployment, and management of AI models in a way that makes AI accessible to every organization.
Read More
The last year has seen a major spike in the adoption of AI models in production environments, in part driven by the need to drive digital business transformation initiatives. While it’s still early days as far as AI is concerned, it’s also clear AI in the enterprise is entering a new phase. Rob Thomas, senior vice president for software, cloud, and data platform at IBM, explains to VentureBeat how this next era of AI will evolve as hybrid cloud computing becomes the new norm in the enterprise.
Read More
A battle for control over edge computing environments is expected to drive a total of $800 billion in spending through 2028, according to a report published today by the LF Edge arm of the Linux Foundation. The State of the Edge report is based on analysis of the potential growth of edge infrastructure from the bottom up across multiple sectors modeled by Tolaga Research. The forecast evaluates 43 use cases spanning 11 vertical industries.
Read More