Three AI-driven data analytics insights from Teradata Possible 2024

Integrating AI-driven knowledge analytics into enterprise techniques presents each alternatives and challenges. As companies embrace synthetic intelligence to drive effectivity and innovation, they face a rising have to stability technological developments with sturdy knowledge methods.

For corporations resembling Teradata Corp., this give attention to scalable AI and reliable data management is significant to sustaining a aggressive edge. By leveraging strategic partnerships, Teradata enhances its AI capabilities whereas guaranteeing that its knowledge infrastructure helps innovation and operational resilience.

Steve McMillan, chief govt officer of Teradata, talks with theCUBE about the way forward for Teradata and what clients search for in an AI firm.

“During the last 40 years, however particularly within the final 4 years, we’ve been capable of pivot the corporate to develop a trusted hybrid platform for AI at scale,” Steve McMillan (pictured), chief govt officer at Teradata, told theCUBE throughout the occasion. “And we’re delivering these options proper right here, proper now … leveraging the partnerships we’ve simply introduced with of us like Nvidia [Corp]. If we are able to actually leverage the AI capabilities and our massively parallel structure, our core applied sciences round workload administration [and] pre-optimization to actually ship in that AI world, I feel it’s going to make an enormous distinction to the corporate.”

Throughout Teradata Possible 2024, theCUBE Analysis’s Rob Strechay and co-host Savannah Peterson spoke with business leaders who offered insights into Teradata’s increasing ecosystem. Discussions additionally centered on the corporate’s current technological improvements and Trusted AI initiative, which drive its technique to construct scalable AI platforms that allow organizations to entry AI’s full potential of their data-driven decision-making processes.

Listed below are three key insights you’ll have missed from theCUBE’s protection of Doable 2024:

1. Teradata’s sustainable hybrid AI platform and open knowledge integration emphasize AI-driven knowledge analytics and operational effectivity.

Teradata Corp. has been steadily transitioning from its legacy techniques to a extra agile, hybrid AI platform with a robust give attention to AI-driven knowledge analytics, emphasizing the significance of sustainability and adaptability in knowledge administration. The corporate leverages its partnerships with cloud giants resembling Google and Amazon Internet Providers to increase its hybrid analytics capabilities and convey AI-driven insights to clients proper the place their knowledge resides, in response to McMillan.

“Our Teradata strategy previously has been: ‘Carry your whole knowledge into our ecosystem,’” he told theCUBE throughout the occasion. “However we’ve acknowledged the truth that knowledge goes to be in lots of locations within the buyer ecosystem, and we must always transfer the question engine to the information moderately than shifting the information to the question engine, which is a really, very completely different strategy.”

Dan Spurling, senior vice chairman of product administration of Teradata, talks with theCUBE about how open desk codecs and AI integration tie into buyer engagement.

A central pillar of Teradata’s technique is its use of open desk codecs and AI-driven knowledge analytics to interrupt down silos and improve knowledge accessibility throughout the enterprise, in response to Dan Spurling, senior vice chairman of product administration at Teradata.” A central pillar of Teradata’s technique is its use of open desk codecs and knowledge democratization to interrupt down silos and improve knowledge accessibility throughout the enterprise, in response to Dan Spurling, senior vice chairman of product administration at Teradata. This strategy boosts operational effectivity and helps the seamless integration of AI capabilities into varied enterprise processes.

“Do you really want to [build a complex data mesh], or do you want to determine have some sort of trusted strategy to centralize this knowledge and convey the engines or the instruments to the information?” he told theCUBE throughout the occasion. “We’re seeing open desk codecs emerge as a pure answer to this problem of knowledge silos after which giving clients selection … flexibility … and choices,” he stated.

With AI more and more driving enterprise choices, Teradata focuses on making AI integration extra easy and scalable, in response to McMillan. The corporate’s infrastructure helps hybrid AI, enabling knowledge scientists to run AI fashions effectively on central processing models and graphics processing unit infrastructures with out compromising efficiency.

“The actual magic of Teradata is [its] massively parallel structure, and the best way that we orchestrate workloads permits us to run complicated AI and gen AI workloads simply as nicely on a [central processing unit] infrastructure as they will run on a [graphics processing unit] infrastructure and that’s an enormous leap forward for us,” McMillan stated.

Teradata’s modern strategy emphasizes technical capabilities and dedication to trusted, moral AI practices, McMillan famous. The corporate’s AI infrastructure goals to cut back vitality consumption and optimize efficiency, positioning Teradata as a sustainable chief in AI applied sciences.

“If you concentrate on the vitality utilization predictions for these big inference engines, you begin to get to the purpose [that] you’ve obtained to have the ability to run it effectively and successfully,” he stated.

Right here’s the entire video interview with McMillan, a part of SiliconANGLE’s and theCUBE Analysis’s protection of Teradata Doable:

2. Teradata’s give attention to AI safety, compliance and regulatory challenges goals to safeguard knowledge integrity and cling to evolving world requirements.

Safety, compliance and regulation issues develop as AI turns into extra built-in into enterprise operations, which introduces new cybersecurity challenges as malicious actors search for vulnerabilities in AI techniques to take advantage of. Teradata’s give attention to AI safety highlights the significance of making sturdy defenses in opposition to these evolving threats, in response to Billy Spears, chief data safety officer of Teradata.

“As we speak now we have these cloud merchandise, two superb merchandise clients can select from,” he told theCUBE throughout the occasion. “And inside that, we’ve constructed issues like risk fashions. That’s all of the behind-the-scenes dangers. We give it some thought so that you don’t should.”

Compliance within the space of AI-driven knowledge analytics is turning into more and more complicated because of the world nature of knowledge switch and stringent regulatory requirements, in response to Spears. Firms should navigate frameworks such because the Cost Card Business Knowledge Safety Commonplace, the Well being Insurance coverage Portability and Accountability Act and the Worldwide Group for Standardization to take care of safe operations.

Billy Spears, chief data safety officer of Teradata, talks with theCUBE about how corporations can navigate the intersection of cloud computing, AI and regulatory compliance.

“It’s difficult, and there are such a lot of laws, guidelines, and frameworks … there are such a lot of completely different units of controls,” Spears famous. “We’re speaking a whole bunch if not hundreds of controls you must take into consideration. On-prem, you must handle that every one by your self. Within the cloud, we do all that homework for you, which is phenomenal.”

Wanting forward, the Digital Operational Resilience Act is about to lift the bar for monetary providers, demanding new ranges of cloud restoration and knowledge safety capabilities. Teradata is already getting ready for these upcoming modifications by aligning its options to fulfill these stringent necessities.

“We all know precisely the place this DORA is, and it’s in all probability probably the most stringent regulation since we’ve seen [the General Data Protection Regulation],” Spears stated. “We’re already forward of these issues. We have now all these certifications throughout all of our product traces now, and we’re nonetheless reaching better heights.”

Right here’s the entire interview with Spears, a part of SiliconANGLE’s and theCUBE Analysis’s protection of Teradata Doable:

Teradata’s strategic AI partnerships and trusted knowledge drive enterprise outcomes.

Teradata’s current partnership with Nvidia has expanded its AI capabilities, integrating Nvidia’s AI-accelerated applied sciences into Teradata’s ClearScape Analytics platform, in response to Meeta Vouk, vice chairman of product administration AI and analytics of Teradata. This collaboration goals to supply Teradata’s clients with the instruments they should effectively handle and deploy AI-driven knowledge analytics workloads, enhancing each velocity and scalability of their knowledge analytics efforts.

“We’re saying, ‘Carry AI to the information moderately than transfer the information to AI,’” Vouk told theCUBE throughout the occasion. “Should you’re a knowledge scientist and also you wish to expertise all the capabilities that ClearScape Analytics provides, you possibly can rapidly spin up a node, experiment, or get some outcomes out of AI after which shut it down.”

Teradata’s technique emphasizes trusted knowledge when deploying AI fashions, leveraging its partnerships to create seamless, scalable AI options, in response to Jacqueline Woods, chief advertising officer of Teradata. By specializing in high-quality, curated datasets, Teradata goals to handle one of the vital challenges in AI — the necessity for correct, dependable knowledge to drive significant insights.

“We’re the golden document keeper,” Woods told theCUBE throughout the occasion. “One of many issues that corporations depend on us for is {our capability} of getting these trusted information, which we name golden information. And to know that what we do is what individuals are searching for, significantly on this time of AI.”

Meeta Vouk, vice chairman of product administration AI and analytics of Teradata, talks with theCUBE a couple of new partnership with Nvidia Corp. and the rising use circumstances for AI.

Teradata has additionally partnered with NewtonX Inc. to deal with challenges resembling aligning AI initiatives with enterprise methods. Firms usually expertise a spot between ambition and execution on account of siloed knowledge, in response to Leon Mishkis, chief working officer of NewtonX. Teradata’s trusted knowledge options assist bridge this hole, guaranteeing AI delivers tangible outcomes.

“We’ve been partnering with Teradata over the previous couple of years on varied analysis initiatives round model well being, round establishing the best [key performance indicators] for the model,” Mishkis told theCUBE throughout the occasion. “Most not too long ago, we launched a really thrilling analysis within the AI house, particularly round belief in AI of senior executives.”

The influence of those AI improvements is already seen in real-world purposes, in response to Vouk. For instance, a big retailer utilizing Teradata’s AI-driven knowledge analytics capabilities was capable of personalize a advertising marketing campaign that reached 4 million clients, leading to a 28% enhance in gross sales.

“The use circumstances are getting so complicated, and to unravel for them in actually significant methods, you’re going to want a number of fashions and a number of capabilities,” Vouk stated. “It’s probably not AI for AI’s sake or gen AI for gen AI’s sake. It’s actually fit-for-purpose AI.”

Right here is the entire video interview with Woods and Mishkis, a part of SiliconANGLE’s and theCUBE Analysis’s protection of Teradata Doable:

To observe extra of theCUBE’s protection of the Teradata Doable 2024 occasion, right here’s our full occasion video playlist:

https://www.youtube.com/watch?v=videoseries

(* Disclosure: TheCUBE is a paid media companion for Teradata Doable. Neither Teradata Corp., the sponsor of theCUBE’s occasion protection, nor different sponsors have editorial management over content material on theCUBE or SiliconANGLE.)

Picture: SiliconANGLE