AI is already starting to make our working lives more enjoyable and catalyzing product innovation – and we are only at the beginning of this exciting journey. However, many technology leaders are struggling to drive compliant innovation at scale to generate enterprise-wide business value due to misaligned resources or haphazard processes. This October in London, MOMENTUM AI is uniting the key players of enterprise AI who are the driving force behind this powerful disruptive technology to equip you with the knowledge and skills you need to harness the power of AI in your business. Here’s why you must be there: Blockbuster C-suite agenda brimming with solutions, insights, and food for thought Strategic roadmap to scale AI deployment feat. Novo Nordisk, Santander, Vivendi, and Kuehne+Nagel AG How to accelerate organisational creativity and innovation with AI feat. HSBC, Ferrari, E.ON, and Bertelsmann AI data governance: addressing quality, integrity, and security challenges feat. Lufthansa, Vodafone, and Lloyds Banking Group Meet the right people to supercharge your enterprise AI journey Boasting involvement from all areas of the enterprise technology ecosystem and with 300+ business leaders already confirmed to attend, MOMENTUM AI London is the #1 destination to exchange ideas face to face with your peers in enterprise tech, cutting edge technology companies, and influential regulators so you can supercharge and fine tune your enterprise AI strategy. Sponsoring organisations include SAP and PMI and recent registrations include senior technology and data leaders from Domino’s, Tesco, EDF Energy, The AA, StoneX, Morgan Stanley, Rightmove, and the LEGO Group.

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Get expert guidance on how to steer your business toward a more resilient future. With the evolving cyber-risk landscape and the growing use of emerging technologies such as artificial intelligence (AI), it’s more important than ever for business leaders to understand how to manage their implementation effectively and securely. This report provides a deeper look into the research related to cyber resilience and offers guidance on how to navigate your way to a stronger more resilient future. It also offers practical tools such as a checklist template, created with Barracuda’s own IT and security leadership. Don’t miss the valuable insights in this report, including: • How organizations rate their security posture • The top governance challenges • Why many organizations lack incident response readiness • Practical tools such as a cyber resilience checklist template Download the full report and checklist now to navigate your way to cyber resilience.

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Manufacturing is powered by thousands of connected devices, massive computing power and artificial intelligence. These advances enable manufacturers to adopt flexible, built-to-order production methodologies that include automated workflows and real-time performance monitoring. Together they improve efficiency, reduce errors and cut costs, but with these benefits comes increased cyber risk. Being cyber resilient means being able to identify and quickly recover from any threat to operational continuity. Manufacturing operators can save considerable time, effort and money by detecting and fixing existing and emerging problems and threats before they cause disruptions, thereby creating a healthier and more robust infrastructure. This whitepaper covers all four key cyber resilience activities for more effective risk management of the manufacturing environment.

When you are using Check Point to secure your business, you gain accurate prevention against the most advanced attacks through the power of ThreatCloud AI. ThreatCloud AI, the brain behind all of Check Point’s products, combines the latest AI technologies with big data threat intelligence to prevent the most advanced attacks while reducing false positives, keeping your business safe and productive.

Our customers are doing life-saving, game-changing, culture-shifting work. They have to get data storage right. There’s no time for do-overs.

AIパイロットプログラムの立ち上げを成功させるためのタイムラインは、プロジェクトの複雑さや、利用可能なリソース、組織の対応状況などの要因によって変わります。最初のAIユースケースをスタートさせるために、複雑なツールセットを用意したり、データサイエンティストを大勢雇ったりする必要はありません。戦略的なプランに従えば、AIパイロットを2～3か月という比較的に短期間で立ち上げることが可能です。ここでは、その方法について説明します。

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Our customers are doing life-saving, game-changing, culture-shifting work. They have to get data storage right. There’s no time for do-overs.