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The vendors AI Defense package offers protection to enterprise customers developing AI applications across models and cloud services, according to Tom Gillis, senior vice president and general manager of Ciscos Security, Data Center, Internet & Cloud Infrastructure groups. It uses AI to protect AI, Gillis added.
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Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
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Palo Alto Networks is teaming with NTT Data to allow the global IT services company to offer an enterprise security service with continuous threat monitoring, detection and response capabilities. NTT Data’s MXDR service offers 24×7 incident detection and response and AI-driven threat intelligence orchestration and automation, Mehta stated.
As data centers evolve from traditional compute and storage facilities into AI powerhouses, the demand for qualified professionals continues to grow exponentially and salaries are high. The rise of AI, in particular, is dramatically reshaping the technology industry, and data centers are at the epicenter of the changes.
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Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
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In 2019, Gartner analyst Dave Cappuccio issued the headline-grabbing prediction that by 2025, 80% of enterprises will have shut down their traditional data centers and moved everything to the cloud. The enterprise data center is here to stay. Six years ago, nearly 60% of data center capacity was on-premises; thats down to 37% in 2024.
Broadcom on Tuesday released VMware Tanzu Data Services, a new “advanced service” for VMware Cloud Foundation (VCF), at VMware Explore Barcelona. VMware Tanzu for MySQL: “The classic web application backend that optimizes transactional data handling for cloud native environments.” Is it comprehensive?
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Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.
2024 GEP Procurement & Supply Chain Tech Trends Report — explores the biggest technological trends in procurement and supply chain, from generative AI and the advancement of low-code development tools to the data management and analytics applications that unlock agility, cost efficiency, and informed decision-making.
Cisco is boosting network density support for its data center switch and router portfolio as it works to deliver the network infrastructure its customers need for cloud architecture, AI workloads and high-performance computing. Cisco’s Nexus 9000 data center switches are a core component of the vendor’s enterprise AI offerings.
Deepak Jain, CEO of a Maryland-based IT services firm, has been indicted for fraud and making false statements after allegedly falsifying a Tier 4 data center certification to secure a $10.7 The Tier 4 data center certificates are awarded by Uptime Institute and not “Uptime Council.”
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New research from IBM finds that enterprises are further along in deploying AI applications on the big iron than might be expected: 78% of IT executives surveyed said their organizations are either piloting projects or operationalizing initiatives that incorporate AI technology.
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
Migration to the cloud, data valorization, and development of e-commerce are areas where rubber sole manufacturer Vibram has transformed its business as it opens up to new markets. Data is the heart of our business, and its centralization has been fundamental for the group,” says Emmelibri CIO Luca Paleari.
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Space supply in major data center markets increased by 34% year-over-year to 6,922.6 Data Center headwinds The growth comes despite considerable headwinds facing data center operators, including higher construction costs, equipment pricing, and persistent shortages in critical materials like generators, chillers and transformers, CRBE stated.
Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use. . 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI prototypes into impactful products!
Fortinet is expanding its data loss prevention (DLP) capabilities with the launch of its new AI-powered FortiDLP products. The FortiDLP platform provides automated data movement tracking, cloud application monitoring and endpoint protection mechanisms that work both online and offline.
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In the quest to reach the full potential of artificial intelligence (AI) and machine learning (ML), there’s no substitute for readily accessible, high-quality data. If the data volume is insufficient, it’s impossible to build robust ML algorithms. If the data quality is poor, the generated outcomes will be useless.
Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core.
Regardless of where they are on their AI journey, organizations need to be preparing existing data centers and cloud strategies for changing requirements, and have a plan for how to adopt AI, with agility and resilience, as strategies evolve,” said Jeetu Patel, chief product officer at Cisco. This remains almost as high as a year ago (81%).
All industries and modern applications are undergoing rapid transformation powered by advances in accelerated computing, deep learning, and artificial intelligence. The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. Imagine that you’re a data engineer.
Cisco has unwrapped a new family of data center switches it says will help customers more securely support large workloads and facilitate AI development across the enterprise. Hypershield uses AI to dynamically refine security policies based on application identity and behavior. The research showed that 74.4%
Looking at this holistically, AWS is delivering updates across the data management/storage stack, from ingest to making data useful and usable to management.” The whole notion of migrating data and having to manage tiering is time consuming and resource intensive. Which means cost, cost, cost.
Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success?
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As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. My work centers around enabling businesses to leverage data for better decision-making and driving impactful change.
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Legacy platforms meaning IT applications and platforms that businesses implemented decades ago, and which still power production workloads are what you might call the third rail of IT estates. The first is migrating data and workloads off of legacy platforms entirely and rehosting them in new environments, like the public cloud.
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However, the diversity and velocity of data utilized by AI pose significant challenges for data security and compliance. Many AI models operate as black boxes and can be difficult for users to understand how their data is processed, stored, and compliant with policies. How is data encrypted? How are AI models audited?
Think your customers will pay more for data visualizations in your application? Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Five years ago they may have. But today, dashboards and visualizations have become table stakes. Brought to you by Logi Analytics.
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