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... 22:33
Tina Tarquinio, IBM | theCUBE + NYSE Wired: NRF Media Week - AI Retail Leaders

SiliconANGLE theCUBE

3 days ago 2K views

IBM Z and Linux One encapsulate full-stack platforms, integrating advanced AI and hybrid cloud strategies. With a rich history in enterprise-grade computing, IBM's innovations, including AI inferencing on-chip, enable real-time transaction processing for critical workloads and performance in regulated sectors like banking. Hybrid strategies leverage existing systems within a multivendor framework, emphasizing security and scalability. As AI gains momentum, IBM Z plays a vital role in executing mission-critical applications, enhancing operational efficiencies while addressing governance and resilience needs across diverse industries, particularly in retail and finance.
08:31 - 08:36

Traditional AI models improve real-time transaction fraud detection on IBM platforms.

IBM Machine Learning Retail
... 27:46
Tom Bianculli, Zebra Technologies | theCUBE + NYSE Wired: NRF Media Week - AI Retail Leaders

SiliconANGLE theCUBE

3 days ago 2K views

Zebra Technologies emphasizes its role in enhancing productivity in various industries through advanced AI and IoT solutions. The company discusses its extensive presence in retail, transportation, and healthcare, underscoring the integration of mobile computing, intelligent automation, and asset visibility. With technologies like computer vision and generative AI, Zebra aims to optimize workflows and improve customer experiences by leveraging extensive data analytics for inventory management. The presentation highlights how the retail environment is evolving, integrating digital twins, and enhancing fulfillment capabilities, ultimately leading to improved operational efficiency and economic performance.
06:15 - 07:02

Generative AI enables automated decision-making for inventory replenishment.

Zebra Technologies Machine Learning Retail
... 6:31
Infosys Not Putting In Enough Effort For AI, Says Trip Chowdhry As Stock Tanks

NDTV Profit

4 days ago 3K views

Concerns arise regarding the performance of Infosys amidst high opportunities in AI. The company displays a lack of execution and coherence in their narrative, especially when compared to competitors like IBM and Accenture. There is significant room for growth, yet Infosys appears to be underperforming, failing to capitalize on a projected trillion-dollar AI market. An urgent need for strategic and executional improvements is emphasized to avoid leaving potential revenue on the table and ensure market leadership in the AI services sector.
03:40 - 04:10

The current narrative is not aligning with the expansive opportunities within AI.

Infosys Finance
... 41:8
Is the Future of Finance Being Redifined by AI? - EP 352 - Nimish Panchmatia

Asia Tech Podcast Official

13 days ago 6K views

DBS Bank has significantly utilized artificial intelligence (AI) to boost revenue and transform internal processes. By fostering an experimentation mindset and embedding AI across departments, the bank has achieved approximately $780 million in incremental economic value in 2024 alone. The bank's approach emphasizes a customer-centric model and a startup culture that encourages innovation, while maintaining regulatory compliance. An understanding of evolving AI technologies is crucial as DBS aims to stay ahead of customer expectations in an increasingly digital landscape.
03:05 - 03:39

DBS has attributed $780 million in value solely from AI applications.

Dr Tech Machine Learning Finance
... 10:7
How Gen AI Saved SBI Life From Angry Customer - AWS Technical Case Study

IT k Funde

1 month ago 2K views

SBI Life Insurance faced significant challenges in customer support due to lengthy wait times and difficulties in retrieving relevant policy information. By implementing an intelligent operations system leveraging cloud technology, AI, and automation, SBI Life dramatically improved the overall customer experience. The solution utilizes tools like Amazon Kendra for enterprise search to provide relevant answers quickly and Amazon Bedrock for summarizing AI responses. This system effectively reduced operator training time by 30% and enhanced customer satisfaction through rapid information retrieval and support efficiency.
08:04 - 08:17

AI system significantly reduces information retrieval time, improving customer service.

SBI Life AI cloud services Finance
... 8:26
MU Getting "Clubbed," AVGO & NVDA A.I. Competition Heating Up

Schwab Network

1 month ago 8K views

AI continues to drive significant investment and interest within the tech sector, reflecting its transformative potential for both consumer and enterprise applications. While AI's long-term promise is notable, caution is urged regarding high pricing and competition among key players like Nvidia and Broadcom. Companies like Micron stand out as important players in the data storage needed for AI, although they currently face challenges in revenue diversification. The future demand for high-bandwidth memory and its role in AI applications will likely lead to exponential growth in memory requirements, impacting the semiconductor landscape.
02:49 - 03:42

Micron's NAND devices are critical for AI data storage despite current revenue challenges.

Nvidia AI hardware Finance
... 40:20
Real World AI Use Cases, Open-Source, Hallucinations (MindsDB CEO Interview)

Matthew Berman

1 month ago 6K views

Minds DB addresses the challenge of integrating AI within enterprise systems by enabling natural language interactions with data. It aims to assist businesses in efficiently retrieving information from vast data sources and automating various workflows. The focus is on building capabilities around data comprehension and utilization, ultimately enhancing decision-making processes while keeping data governance and security in mind. The open-source nature of Minds DB promotes community collaboration and continuous improvement of its AI systems, ensuring adaptability and responsiveness to enterprise needs.
06:55 - 07:12

Enterprises recognize the potential of AI to optimize workflows and improve decision-making.

MindsDB Machine Learning AI Startups
... 40:20
Real World AI Use Cases, Open-Source, Hallucinations (MindsDB CEO Interview)

Matthew Berman

1 month ago 6K views

Minds DB addresses the challenge of integrating AI within enterprise systems by enabling natural language interactions with data. It aims to assist businesses in efficiently retrieving information from vast data sources and automating various workflows. The focus is on building capabilities around data comprehension and utilization, ultimately enhancing decision-making processes while keeping data governance and security in mind. The open-source nature of Minds DB promotes community collaboration and continuous improvement of its AI systems, ensuring adaptability and responsiveness to enterprise needs.
06:55 - 07:12

Enterprises recognize the potential of AI to optimize workflows and improve decision-making.

MindsDB Machine Learning AI Startups