AI will become more authentic in organizations. The speed at which AI is being embraced across organizations will skyrocket.
2022 became the year of Generative AI. From automating basic tasks to creating something unique. Social media platforms like Reddit and Twitter are filled with images created by generative AI or machine learning models such as DALL-E 2 and Stable Diffusion. Startups building products on top of generative models are attracting funding despite a downturn in the market. Besides, Big Tech companies are integrating generative AI models into their mainstream products.
The generative AI industry still has challenges to overcome, including copyright and ethical complications. For example, Microsoft is taking advantage of its cloud infrastructure, exclusive access to OpenAI's technology and the vast market for its office and creativity tools to bring the power of generative models to its users. Adobe is also preparing to integrate generative AI in its video and graphic design tools. And Google also has several generative AI products in the works. Down the road, however, the real power of generative AI might manifest itself in new markets. Who knows, maybe generative AI will usher in a new era of applications that we had never thought of before.
Key AI Trends and Predictions for 2023:
Pandemic or no pandemic, there doesn't exist any country that isn't already penetrated by AI in any form. If you order from any online store, the product you are ordering is probably assisted on its way to production by some sophisticated AI-guided machinery. The website you are using is perhaps being watched over by AI-enabled software, compiling all your actions so the vendor could get back to you with more offerings that are probably more than you bargained for in the first place.
AI to minimize uncertainties: As far as organizations are concerned, the most sobering lesson of the pandemic was to be dynamically prepared for uncertainties. Next to that, they are wary of investing in a stop-gap solution, which only addresses the issues relating to the pandemic but fails to see the big picture ahead. As it was, the pandemic left many organizations totally unprepared for the quarantines, lockdowns, social distancing, and strict sanitary requirements that governments enforced worldwide.
In particular, organizations had to rush setting up remote work software infrastructure, while schools had to deploy distant learning management systems. Apart from these, they also had to factor in collaboration tools and solutions, communication systems, project management platforms, and a host of other applications to minimize the pain of a drastic transition. It took the pandemic to make organizations realize how weak their technology infrastructures were in reality. They learned that holding off digital transformation had exposed them precariously to the pandemic.
By deploying dynamic business operating models with AI and ML, they could spot anomalies early enough to give them time to respond to the threats dynamically. The pandemic revealed the value of AI in enforcing dynamic simulation modelling, workforce planning, and demand projection.
The crucial lesson of the pandemic is to be prepared for uncertain times.
The pandemic exposed the weakness of the technological infrastructure of organizations.
Dynamic simulation modelling with the help of AI and ML will help organizations deal with uncertainties better.
Ethical AI: AI doomsday scenarios aside, there are valid reasons why the increasing invasion of AI in all aspects of business, personal and institutional activities is getting the attention of authorities, concerned organizations, and vigilant individuals everywhere. One valid reason that quickly comes to mind is the spate of chilling reports of Apple, Google, and Amazon smart speakers listening to their owners' conversations. That is not all. AI-powered toys and the companies behind them are similarly getting the flak for spying on kids.
How about AI-powered financial institutions denying any of your loan and credit applications because of bias unwittingly loaded into the AI engines' algorithms? AI in the courtrooms - AI is already showing up in courtrooms through risk assessments to determine which one is at high risk of not showing up for court or getting rearrested. Beyond the courtrooms, governments are waiting for the right time to introduce a wide-ranging array of facial recognition technologies to help them fight all sorts of activities against state and citizens alike. What's not mentioned, of course, is how much of it can go wrong.
The recent reports of privacy breaches and the absence of best practices are bringing together organizations
and authorities to create the framework for the subsequent iterations of AI.
Various AI principles are already in the works.
The issue of bias is one of the significant causes of concern about AI development.
AI in Quantum Computing: Google and IBM are disputing the announcement details; Purdue University has blazed ahead with Qudit computing, which will be more potent than qubit computers. With these advances in computing power, humanity is diving into Star Trek territory, and with AI added into the mix, there's no more telling where the race is heading.
The recent Google announcement of achieving quantum supremacy points to a time when quantum AI would take its rightful place among business and personal spheres.
Quantum AI will usher tremendous possibilities hardly possible with current computing systems.
We are not even into full qubit computing yet, and another computing system based on so-called qudits is already in the works.
AI on the Edge: Edge computing is what giants like NVIDIA, Google, and Apple see as the solution to the centralized, server-side logjam plaguing networks, applications, and processes across industries. The fix is simply installing specialized AI chips on the devices connected to the servers. The solution relieves the servers of heavy workloads while allowing users to process information instantly and locally.
AI-powered edge computing is critical in solving computing challenges.
These challenges relate to the Internet of Things (IoT), which integrates more devices than in the past.
Major corporations like Apple, Google, and NVIDIA, are the leading investors in the technology.
AI Solutions from Research Labs: Organizations take pride in successfully using AI to resolve multiple business challenges. They are now pushing the buttons further by finding AI solutions out of experimental labs and pilot stages to complete production stages at a more rapid pace. But, behind the scenes, it is really AI pushing AI further. AI in the form of machine learning (ML) and AI-powered analytic engines help design more advanced progenies. However, at the moment, the capability to rapidly deploy Ai enabled systems is mainly confined to large enterprises with financial backup to pull it off.
Large corporations that have seen the power of AI are driving AI solutions faster out of research labs.
These organizations use AI-powered analytics engines and Machine Learning to deploy better AI/ML and RPA systems.
Large enterprises have set their eyes on the next three years to accomplish their goals.
AI in Hollywood: We have seen the power of computer-generated imagery (CGI) and AI push Alita the Battle Angel and Thanos to punch their way to the box office. Those are undersized compared to what researchers are cooking up for the next AI role in Hollywood.
Forget James Dean coming back to life in a new movie. How about an AI algorithm nudging you to watch a current blockbuster written by an AI, where robots perform all the scenes, entirely helmed in turn by an AI director? If you think that's too much, wait until you learn that another AI screened the scripts and suggested the studio buy the rights.
AI has relieved animators of the need to hunch over thousands of frames or spend hours rendering advanced visual effects. Instead, the animators simply moved on to more creative tasks. Adobe and Kristen Stewart, meanwhile, just pioneered a novel neural network that can produce an impressionist painting. At Disney, robot acrobats relieve human actors of the need to risk life and limb while performing gravity-defying stunts.
AI is extensively used in movie studios for multiple processes.
Motion capture is one of the most successful uses of AI in motion pictures.
New research points to AI getting a piece of predicting box office success for films under consideration, saving film studios on failed ventures.
AI as a Weapon: The commoditization of AI tools have many countries and arms manufacturers racing to determine who could push the most powerful AI chip inside weapons systems. These include battle drones, war-class land, naval and aerial vehicles, surveillance systems, robots, and missiles, among others. Algorithms that once guide only business processes now help define best-in-class destroyers. Nations stockpile autonomous weapons systems by the millions, prepared to release them under the right conditions. And much like various forms of malware, their AI-powered cyberspace cousins are ready to pounce and engage human targets without further intervention.
Military installations are competing for AI chips for use in wars, current and future ones.
AI and algorithms are found in various military installations, surveillance systems, and weaponry.
Weaponized AI and algorithms involve complex elements to understand easily.
AI to enable Enhanced Process Discover: Processes are the backbone of all business workflows. This is true no matter if the business manufactures cars or sells toys. Many companies today rely on processes charted years or decades ago. The use of AI will transform all that. Much like GPS allows Waze or other map-based platforms to chart the best route from the point of origin to the point of destination, the new enhanced AI RPAs use advanced algorithms to teach businesses new ways of doing things more efficiently.
Organizations will use AI to discover efficient processes.
This approach will seek to improve processes and ROIs.
In the petroleum industry, the success of Shell Petroleum in employing AI in many of its operations and processes are well documented. Other businesses follow suit.
Competition Imbalance: Much has been made of online stores and e-commerce establishments, pushing physical stores to the brink of the retail apocalypse. In the face of the ongoing AI onslaught in almost all aspects of industries, a question emerges: how would this development disturb the playing field between AI industries and non-AI industries? According to Forrester, "AI-driven organizations will steal $1.2 trillion per annum from their less-informed competitors. And growing at an average of more than 30% annually, they are on track to earn $1.8 trillion by 2021."
Industries adopting AI will profoundly impact non-AI competition.
AI industries stand to gain $1.2 trillion yearly at the expense of their non-AI counterparts.
The imbalance is due mainly to AI industries getting quick on their feet to apply AI in their processes.
AI creates more Jobs: Much like how workers resented—and often reacted violently against—the mass production technologies of the Industrial Revolution, their modern counterparts are throwing wary eyes on the advent of AI in the workplace. For some, AI means job displacements everywhere, leaving them with no means to support themselves and their families. Are their fears well-founded? Jobs always tend to vanish, but pinning down the reasons for their disappearance is not always straightforward. And in most cases, more sophisticated jobs that pay more and provide better working conditions actually replaced these jobs. Moreover, displacements are often temporary and easily mitigated by retooling and reorienting the affected workers.
Just before the pandemic, we also noted how 40% of organizations were adding more jobs due to bringing AI into their business. While the pandemic might have thrown a short-term wrench in that development, it is expected to pick up again. When it comes to AI, the dilemma is not about lost jobs: it's about how ready the job market and industries are to embrace this massive sea of change. To do so, they have to focus on reskilling and upskilling to meet the demands of the new market.
The increasing introduction of AI in the workplace makes workers fear displacement.
Research data, however, show the opposite: more jobs will be created in the long run.
Employers worry about the lack of AI-skilled talents.
World of Avatar: It is no more about the alien tree-fangled world that James Cameron created. Instead, it is about smart assistants taking multiple forms to help humans complete the tasks they have set to do.
In specific terms, think about Alexa AI in the form of a sales agent aside from its popular speaker avatar in Echo. How about a Cortana walking interpreter or a Google Alpha Zero gamer? AI will transform into more human forms, so companies can encourage more customers to actually engage with them.
For example, Disney World can transform its favourite characters into AI-endowed avatars to help tourists go about the business of the entertainment centres. Samsung, on the other hand, is developing Neon AI. These are avatars programmed to "act as hyper lifelike companions." The continuing advance of AI, natural language processing, computer vision, ML, and augmented reality all help to lay the groundwork for these developments.
Many industries will turn to AI-powered representations to enhance engagement and increase profits.
The gaming, entertainment, and software industries lead the development of this technology.
The combination of AI, computer vision, improved natural language processing and augmented reality makes this development possible.
Transportation of the 21st Century: AI-enabled autonomous transportation, from personal and business logistics to public commuting. Fleet management software solutions already employ AI to manage enormous numbers of vehicles as they cover the planet from end to end. The visions have not fully materialized yet, but the next few years should see this trend shoot up in every direction. Autonomous transportation brings more enabled smartphone applications to deliver innovative vision into the road networks. Google Maps and Waze already own this space, but as with many business models, the market that vast for a new player to emerge.
For global cities, AI brings a level of processing, control, and predictive capabilities that naturally make it a much-needed tool to contain the traffic horror that is wreaking havoc on their economies. China and Germany are already laying the groundwork for such systems. Ahead, many more should follow with their own solutions. Finally, AI should pave the way for safer roads in terms of detecting drivers who are under the influence of alcohol. The advanced analytical capabilities of AI could enable it to point to drivers who are texting while driving.
The transportation industry stands to gain enormously from the application of AI.
Autonomous vehicles, for one, will be fully road-worthy by 2025, according to experts.
In tandem with other technologies, AI should also make roads safer by detecting drunk drivers, among other things.
AI will be more pervasive ahead. Even with all the artificial intelligence industry trends covered here, there must be tens more going on from any part of the world. However, AI is just at the tip of the iceberg. Machine learning statistics show a side of the latest technology in artificial intelligence that expands its possibilities even further. From being perceived as something complex, AI is now being streamlined in many business processes. AI has come a long way in making life easier, processes more efficient, and even filling the skill gap. However, while AI is known for increasing productivity and efficiency and cutting down costs, it should still be utilized responsibly.