AI has exploded in popularity in recent years, to the point where it's no longer considered a luxury in the business world, but a necessity. A PricewaterhouseCoopers (PwC) study revealed that the adoption of AI will fuel a 14 percent increase in the global GDP by 2030, representing an additional $15.7 trillion surge to the global economy.1 Businesses using AI solutions are discovering new ways to tap into vast amounts of data to get clear insights and accelerate innovation. Thanks to advancements in graphics processing unit (GPU) computational power and the availability of tech services through cloud marketplaces, AI is now more accessible than ever. As companies look to do more with less, AI will play an increasingly critical role--particularly generative AI, a category of AI algorithms that generate new outputs based on data. Unlike traditional AI systems that are designed to recognize patterns and make predictions, generative AI can analyze large data sets and create entirely new content in a variety of media formats--including text, images, audio, and data--based on what's described in the input.

The meltdowns at Southwest and the FAA, just weeks apart, were because of weaknesses in systems scheduled for upgrades--underscoring the urgent need to give priority to efforts to modernize those systems, as well as the consequences of waiting to do so, the consultants said. While starting over wholesale with new information-technology infrastructure is likely unrealistic, consultants said, the sector should take advantage of cloud-based tools that can integrate the fire hose of real-time data driving airline operations. Newer, cloud-based infrastructure and databases can scale horizontally--meaning they can take advantage of distributed computing resources across the internet as needed. This design allows information to flow more freely, reducing the likelihood of glitches that cascade into systemwide shutdowns. Older, legacy systems are limited to the amount of computing power available.

Dr. Cindy Gordon's 2022 Top Musings from her articles to read/reflect upon in 2023. Well it is New Year's eve, December, 31st, and only twelve hours before midnight and I am writing this final article. I decided that I would review all my Forbes articles and rank them based on the number of views, so if you only have ten articles on AI to read in the NY, I hope that these musings will inspire you to advance your knowledge of AI and leadership - as we all have much work to do to build a more sustainable, private and ethical AI world. Even Elon Musk states this is likely a good thing. Read the article and decide for yourself?

The world around us is changing rapidly, and with our aging populations, and public health crises, enormous pressures are on provider workloads impacting patient safety risks and patient experiences. Becoming more efficient, healthcare providers must deliver higher quality care, improve patient, reduce costs, become more efficient, and apply the latest developments in drug therapy. Healthcare environments have enormous datasets to be leveraged, and its time to put this data to work where AI and machine learning methods that are intelligently integrated into workflows will improve healthcare delivery of all stakeholders. The health technology sector sector is expected to reach USD $280 billion by 2021, at a CAGR of 15.9% between 2016 - 2021. Deloitte identifies data as "the new health care currency."

Getting a census count wrong can cost communities big. A March 10 report from the US Census Bureau showed an overcount of white and Asian people and an undercount of people who identify as Black, Hispanic or Latino, or multiracial in 2020, a failure that has led to renewed calls to modernize the census. Progress reaching historically undercounted groups has been slow, and the stakes are high. The once-a-decade endeavor informs the distribution of federal tax dollars and apportions members of the House of Representatives for each state, potentially redrawing the political map. According to emails obtained through a records request, Trump administration officials interfered in the population count to produce outcomes beneficial to Republicans, but problems with the census go back much further.

Digital banking has been on the rise for many years: the pandemic made it imperative. In the past two years, customers no longer merely chose to do their personal banking at home, they were in many cases forced to. Organizations scrambled to adopt digital technologies and supporting processes to position themselves to advantage. As low interest rates continue to keep the mortgage market active, digital-first mortgage originators and servicers are taking the mortgage market by storm, largely because they provide their customers with an excellent borrowing experience. Recent research by McKinsey showed that almost 60% of borrowers are willing to complete the entire mortgage process online.

There are few industries as old-fashioned as dairy farming, an ancient form of agriculture that can be traced back over 11,000 years, according to ThoughtCo. However, some agricultural artificial intelligence developers are hoping to modernize the milk industry with the help of a slate of futuristic tools that could change dairy farming forever. Although the agriculture AI industry was valued at approximately $519 million in 2019, economists believe that high-tech farming is about to experience a major boom, estimated to grow into a $2.6 billion business by 2025 (via California Review Management). Current and forthcoming AI-driven agricultural technology include futuristic farming tools like robot farmhands, which could help solve labor shortage issues by performing manual tasks; predictive software, which can help monitor and predict soil conditions, weather patterns, and other environmental elements; and data capturing drones that can pinpoint patches of diseased or pest-infested crops, making it easier to eradicate crop killers before they become an insurmountable -- and expensive -- problem. While a large portion of the current farming AI has been focused on plant-based agriculture and crop production, companies like CattleEye, a U.K.-based cow monitoring company, intend to modernize the dairy industry one farm at a time using this sophisticated technology.

Tech trends can change on a dime--for example, the Covid-19 pandemic caused many companies to reactively switch their tech focus to enabling and supporting remote work. Still, industry watchers generally have insight into likely upcoming developments--they named cybersecurity and the Internet of Things as trends to watch in 2021, and there's no doubt these topics have generated plenty of headlines this year. The tech experts of Forbes Technology Council have their own predictions about the technologies and trends they believe will dominate not only the tech industry but business in general in the year ahead. From continued upgrades to artificial intelligence, voice search and battery technology to the rise of "citizen developers," here are their predictions and reasons for new and continuing tech trends in 2022. Members of Forbes Technology Council share their predictions for the tech trends that will dominate industry in 2022.

There's increasing momentum to optimize operations with digital processes and meet customers where they are digitally. But how can enterprises manage this change in a secure way? Over the past 18 months, enterprises have drastically accelerated the shift to optimize their operations with digital processes. On top of this, customers are becoming increasingly digital, and this behavior is predicted to continue even as the world opens up further, and customers have more options. Enterprises face some tough challenges as they optimize their infrastructures to better meet changing customer demands and advance their key business priorities.

Earlier this year, my co-author, Malay Upadhyay, and I released our new book, The AI Dilemma, a leadership guide to assess enterprise AI maturity and explore AI's impact in diverse industries. Over the past year, during COVID-19, I have been writing a series of blogs for CEOs and Board Directors and executive leadership teams to advance their knowledge in AI having develop a comprehensive AI set of skills that I called The Brain Trust. Over fifty skills were defined with examples of AI innovations. The response has been overwhelmingly positive. Why I have been writing these blogs is to drive an increased sense of urgency of board directors and leadership teams to internalize that human civilization as we know it is changing at a clip that is unprecedented in human history.