When was the last time you used paper maps and traffic updates from your radio to get to a destination? I threw away my stack of various maps a long time ago! Most people today rely on real-time navigation with its built-in traffic awareness to move reliably and quickly on their journey. Yet, I find it interesting that many businesses still buy IT products from the paper map generation.\nIn this article, I will discuss the next generation of IT infrastructure and software \u2013 what I call\u00a0highly intelligent products.\u00a0This evolution marries the advancements in AIOps and IoT, allowing businesses to considerably reduce IT costs while improving application uptime \u2013 two goals that are often at odds with each other.\nWhat are AIOps and IoT?\nToday, IT organizations are faced with a daunting challenge: how to manage a vast variety of specialized IT infrastructures and applications. IT teams must ensure everything operates seamlessly together, like a perfectly synchronized dance. And yet these teams are siloed, often using different tools to support their products.\nAIOps is the use of artificial intelligence (AI) for solving problems with IT operations (ITOps). Ensuring applications run optimally 24x7 means having the ability to correlate operational data across these silos as well as identifying long-term patterns. This goal is not possible by human endeavors alone, which currently involves writing scripts to do correlations or employing threshold-based monitoring tools.\u00a0ITOps teams need the help of AI \u2013 thus AIOps.\nAs we all know, the Internet of Things (IoT) refers to products that are always connected to the Internet and stream behavior-related information and other data. Vendors of these products then analyze the data and draw insights to achieve benefits, such as improving the customer experience. The business is also rewarded by time and money savings via process improvements. When you marry IoT with AIOps, you get\u00a0highly intelligent products\u00a0that can bridge silos, analyze data, and compile actionable insights.\nWhy highly intelligent products are so cool\nLet\u2019s go into more detail -- what exactly does this marriage of IoT and AIOps buy you?\nConsider self-driving cars. They rely on a modern navigation system that tells you exactly how to get to your destination while taking into account real-time traffic conditions. Highly intelligent products provide the same kind of benefits to IT infrastructure:\n\nSee once, prevent for all\u2014always!\u00a0Vendors of highly intelligent products maintain learnings from across their entire global install base. Think of these learnings as fingerprints. When an issue is seen for the first time, it is rapidly fingerprinted. Because the install base is always connected, the vendor is constantly scanning deployments for a fingerprint match. And when it finds one, you can expect the vendor to notify you proactively if you have a known issue that might cause a future problem. Sounds like utopia, doesn\u2019t it?\n\n\nPredict unplanned downtime across the application stackVast quantities of varied operational data are key ingredients for developing\u00a0reliable AI models. In highly intelligent IT environments, this data is not just available from the vendor\u2019s own products but also from other products in the application stack, via public APIs. Data scientists use this data to train sophisticated models that can predict a vast spectrum of complex issues \u2013 from performance degradation to potential hardware failures and even security issues. Hundreds of data points and sensors are correlated to predict truly obscure problems not possible without AI.\n\n\nInstantly give actionable solutions to problemsIn the world of traditional products, an IT administrator may see a problem such as performance degradation, but they don\u2019t know how to fix it. They search online forums, spend endless hours with customer support, or hire professional services. Often, they perform costly product upgrades, including hardware upgrades, only to have the problem return. Highly intelligent products can resolve these issues in a fraction of the time. That\u2019s because they provide not only operational data on product behavior but also on solutions to any problems. Data scientists use this data to reliably train AI models. They can even predict what will go wrong next and exactly how to solve it, providing very actionable recommendations in plain English.\n\n\nKnow your environment deeplyFor those occasions where IT teams require support services, the vendor already knows the IT team\u2019s environment inside and out. For example, the vendor can see long-term patterns from hundreds of sensors in the environment, and their support team has already seen the alert and is ready to take immediate action. For the IT team, no more trying to reproduce the problem or send logs. And no more playing ping pong between different vendors.\n\n\nProvide better designed productsProduct engineering teams use the vast trove of information on their products\u2019 behavior to design better products. They shore up vulnerable or unstable elements, improve usability, and add new capabilities. Of course, the user also benefits from a better product.\n\nReal life highly intelligent products\nIf all of this sounds a bit abstract, let me give you a specific example of a product you can leverage today.\u00a0HPE InfoSight\u00a0is free[i] AIOps technology that makes HPE server, storage, and hyperconverged product offerings highly intelligent.[ii]\u00a0According to a recent ESG financial impact\u00a0report, customers are seeing substantial benefits from this highly intelligent product.\n\nCustomers have seen a 79% drop in IT operational expenses using HPE InfoSight because fewer staff are needed to manage problems.\nHPE InfoSight remediated 86% of issues\u00a0before customers were even aware of them.\nFor those very complex issues that typically need IT admins to work with a vendor\u2019s Level 3 Support, customers saw a 69% faster time to resolution with HPE InfoSight.\n\nIf you are looking to modernize and transform your IT environment, it\u2019s time to raise your expectations. Ask your vendor if their products are AIOps- and IoT-enabled. Don\u2019t rely on outdated sources to get you where you need to go. Instead, implement highly intelligent products that will propel your business forward, significantly reduce operational expenses, increase uptime, and deliver a better customer experience.\n[i] Requires a valid warranty or support contract.\u00a0\u00a0[ii] HPE InfoSight supports a broad range of HPE systems and solutions. To learn more, visit hpe.com\/infosight \u00a0\n____________________________________\nAbout Rochna Dhand\n\nRochna Dhand is a product management executive with 15+ years of experience shaping early-stage, ground-breaking IT technologies. She led a technology team at LoudCloud, Inc., one of industry\u2019s first companies to offer software-as-a-service computing with an Infrastructure as a Service model. Rochna was also an early product manager in VMware\u2019s flagship product (ESX and vCenter - together called vSphere), where she helped shape the future of server virtualization. At HPE, Rochna is the head of product management for HPE InfoSight products. Rochna holds a Master's in Computer Science from Clemson University and a Bachelor\u2019s in Computer Engineering from University of Mumbai.