Intelligent CIO North America Issue 33 | Page 77

t cht lk like images , video and music via natural language prompts . And once again on the theme of making development easier , tools like GitHub ’ s Copilot proliferated last year – a match made in coding heaven where one finished the other ’ s sentences . Awe ! Expect to see more object-generating AI tools , often as extensions of the ones that currently exist , bringing together humans and technology bonded by the language we already speak . After all , there ’ s a lot of data out there requiring insights .

t cht lk like images , video and music via natural language prompts . And once again on the theme of making development easier , tools like GitHub ’ s Copilot proliferated last year – a match made in coding heaven where one finished the other ’ s sentences . Awe ! Expect to see more object-generating AI tools , often as extensions of the ones that currently exist , bringing together humans and technology bonded by the language we already speak . After all , there ’ s a lot of data out there requiring insights .

• The unstructured data train has left the station . The presumed volume of incoming information to an organization will be 4.5X greater in two years than it is today . Most of that data is unstructured : audio and video files , knowledge repositories , social posts and more . Technologies that provide companies with the ability to capture , extract , normalize , glean insights , automate action on those insights and get more accurate each time through Machine Learning will have a good year , as long as the investment goes towards creating better experiences for customers and workers .
• Employee and customer experience are on equal footing . Why did it take a global pandemic for employee experience to finally get the recognition it deserved ? Gone are the days of throwing a mountain of legacy technology at workers hoping that they ’ ll accept it all under the guise of customer experience . Companies will harness the opportunity gap created between the rate of technological change and humans ’ ability to understand it to continue to create customer experiences that matter – with a newly keen eye on how that impacts the limited staff they have .
• Blockchain . No segue here . At the risk of making the same misstep as last year , I ’ ll take a flier on Blockchain again in 2023 . The impact of lost wealth from both the crashing of cryptocurrency values , the FTX scandal and other legitimate crypto exchanges searching for solvency in late 2022 doesn ’ t bode well for that industry in 2023 . However , the underlying technology has always been the shining star . Blockchain-based upstarts struggled to overcome public relations scrutiny as well as general macroeconomic investment headwinds last year , but that doesn ’ t mean that the future isn ’ t bright for decentralization of things like secure sharing of medical information , intellectual property rights , original content security and agreements through smart contracts . 2023 will be spent rebuilding trust in the underlying technology .
There are my technology predictions for 2023 . Often trends in these annual prediction pieces take multiple years to truly proliferate , so maybe we shouldn ’ t be so hard on ourselves but rather honest and accountable . Maybe that will be the biggest trend for 2023 ? We shall see . p
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