2021年7月29日

未來五年的AI采用丹•威爾遜WorldQuant預測7/29/2021大多數技術愛好者期待黎明的AI以極大的興奮。盡管我們都欣賞機器學習工具,使垃圾郵件的收件箱和聊天機器人幫助我們找到完美的高爾夫俱樂部,現代人工智能可以做那麼多。我相信未來五年將會看到幾乎無休止的增長的使用複雜的形式的人工智能,更重要的是,解決問題的各個行業。擁有超過300億美元的股本資金進入人工智能企業近年來,精明的領導人將上艾城去尋找方法來最大化他們的資產已經和獲得新的工作方式的好處。四處跑的采用數據驅動的解決方案,公司已經在這裏但實際上會增加這些大量的數據證明自己的價值。AI的傘是寬,公司將尋求人工智能和機器學習來幫助理解他們已經擁有的東西。毫無疑問,人工智能是無處不在的,它在這裏留下來,所以避免或躲避不是一個選擇。這將是采用和嵌入在我們所有的技術,所以得盡快。自助的方式向前想要充分利用他們的技術投資,公司可以要求AI大眾化的產品,其固有的權力在他們的組織。合作意味著工作流是不斷簡化; no one wants to pay for a product that only a handful of tech-savvy people can use, or that requires extensive training. Self-service is the way forward, but only when business owners, C-suite execs, and brand marketers accept AI and appreciate what it offers. That starts by understanding the power of analytics when it's presented in an easy-to-use business application. Once business owners get the technology in their hands, they won’t turn back. Speed and agility count A problem you have today may not look like the one you had yesterday or even last month. If we've learned anything over the last year and a half, it's that black swan events will occur; and using yesterday's data to solve tomorrow's problem can be futile. When investing in AI-powered solutions, speed-to-solution and agility count, and any investment you make to solve a problem must have a direct correlation to expected accuracy and the time it takes to get there. As business situations change, the underlying data that comes into an AI solution also changes. AI’s agility, adaptability, and responsiveness provides for a constant refresh of models, allowing you to adapt yesterday’s data to solve tomorrow’s problems. Trust AI Within the next five years, artificial intelligence is likely to become more trusted. Currently, there's a tendency for executives who see an AI output they didn’t expect to assume that it's wrong – simply because it is unexpected. That mindset will change as business leaders become more familiar with AI and their trust level increases. We are regularly asked how an algorithm works and how recommendations are being made. As practitioners, we understand the importance of educating customers on what we do; “explainability” is a core discipline in any AI project. As AI and all of its transparency enjoy greater acceptance, there will be more comfort and less questioning, which will move AI out of the proof-of-concept mode. Buyer beware – look for the real deal Data scientists will be thriving, and the bar for admission will be lower; anyone with a Kaggle account and basic pivot table skills may claim to understand data science. Regardless of how much you rely on your internal data team or whether or not you even have one, make sure the AI technology provider you work with has the necessary credibility where it comes to AI and ML, as well as a deeper-than-surface level understanding of your industry. Without relevant business insights and access to a global research network, you won't maximize your investment in AI. The best AI practitioners have the ability to weave alternative data sets into projects, objectively using that data by integrating a diverse group of minds on the same problem, helping you to see around corners. While the AI landscape for business might seem fraught with uncertainty, take a deep breath and know that you can be in control by considering the principles discussed here. The wheels are turning daily to make AI more accessible, easier for your team to use, and ever more powerful. All that data you've been collecting? If you choose your AI-powered tools and partners with care, you're about to learn what to do with it and how they can help you succeed and pursue a greater market share. Dan Wilson is vice president at WorldQuant Predictive, an AI predictions company that delivers accurate prediction products to allow customers to solve their business problems. Related Stories