AI and Machine Learning
September 24, 2021
Artificial intelligence, or AI as it’s more commonly known, has been gaining momentum for a while now. In the past few years alone we have seen its revolutionary impact on almost every industry out there and experts predict that this trend will only continue to grow in popularity over time.
Artificial intelligence (AI) is a big change in the current technological landscape. It can be used for chatbots, financial models, predictive analytics, etc. to help companies become agile, accurate, insightful about their business model. Even if you do not like it or are ignorant about its presence, AI will be the new DNA of your reality. It is a reality that cannot be denied and one that businesses must start to reckon with soon.
As Andre NG puts it best, “Artificial Intelligence is the new Electricity.”
Artificial intelligence (AI) is supposed to augment and empower humans in what they do and how they live their lives. It is a tool, not a threat. In almost every sphere of life and work, AI injects automation, data power, and the impact of better decisions. This is how it transforms business with a staggering cut in costs and an unprecedented elevation of efficiency, agility, and customer intimacy. No wonder, AI is getting bigger and bigger every day. As IDC tracks, global revenues for the artificial intelligence (AI) market, including software, hardware, and services, are forecast to grow strongly in 2021 to $327.5 billion. It also pointed out that by 2024, the market is expected to break the $500 billion mark, with total revenues reaching a mind-blowing $554.3 billion. Interestingly, AI is gaining ubiquity across all the functional areas of a business.
With advancements in machine learning (ML), conversational AI, and computer vision, we have entered an age where organizations are architecting converged business and IT process optimizations, predictions, and recommendations. They are, thus, enabling transformative customer and employee experiences. IDC has noted how enterprise demand for AI capabilities to support business resiliency and augment human productivity sustained double-digit expansion in 2020. This happened even as other discretionary projects experienced delays. So clearly, AI is here to stay. And its ripples are traveling far and wide.
“AI is supposed to be either the best or the worst thing to happen to humanity.” – Stephen Hawking
We used to watch them in movies just some years back but look around, and we can see them alive and kicking already. Chatbots, smart voice assistants with that special sixth sense, robots that can handle warehouses on their own, cobots helping men in factories, facial-recognition-based law enforcement, smoothly cruising self-driving vehicles, retail aisles powered with augmented reality (AR), IoT-run refrigerators and microwaves, self-driven supply chains, and whatnot. They are floating all around us.
AI has immersed its impact across a wide range of areas. It is helping us to think faster, better, and with more intelligent use of data. Let’s understand how and where AI is touching and redefining our lives.
In short, AI is intelligence that computers build and give us to save time, make better decisions, and look at insights that escape the human eye. With deep learning (DL) and machine learning (ML) along its side, AI is a composite of technologies and approaches, redefining how we code, work, think, perform, and even live. The extreme flight of computing intelligence is getting closer and closer to how human intelligence works.
As we can see – AI is pumping up humans with its horsepower for the mind. But when we say mind, there is more to it. Like a human mind, it is deep, complex, and still unexplored.
Just like any other abstract concept bubbling in the mind of a philosopher, AI, too, has bothered and entertained philosophers with a lot of paradoxes, assumptions, and doubts since its advent. AI can get a lot more Meta, a lot abstract, and a lot more complex than it looks on the surface. There are two ways to look at it: reasoning-based AI or behavior-based AI. One dimension is whether the goal is to match the human performance or, instead, ideal rationality. The other dimension covers the aspect of a purpose: to build systems that reason/think, or rather, systems that act.
Now that we know what happens under the hood of AI, let’s see how to make the best use of it. And for that, we need to know what roads we need to drive with this new engine.
AI is defined by what it is used for and how. So there is Narrow AI wherein AI can perform specific tasks the way – or better than- humans can. There is General AI, where machines become human like, make their own decisions, and learn without human input. This is where AI transcends logic and enters emotions. There is applied AI, which is tailormade for specific industry needs and problems. Cognitive stimulation creates a parallel world that mimics all constraints, opportunities, and possibilities at a cognitive level. And finally, there is the realm of Super-intelligence – where AI is way ahead of humans – from creativity to social skills. AI is complex. Whether we see its use, techniques, inner working, or its intended applications. The goals are challenging to define and measure, and that is why an organization needs to have a good understanding of what it is looking for and how it will achieve that. It is better to express AI goals as well-posed questions and hypotheses around a specific and intended benefit or outcome.
AI is not a magical or mythical beast. It is a logical creature made up of the barebones of data and the flesh of innovation and applications. When we think of AI, we think of machines, computer systems, algorithms, and models trying to get closer to human intelligence. Let us observe what essential elements shape AI into what it is.
How about looking at AI now from both angles? There are two ways to approach its programming. And both of them work their muscles.
AI has the most significant potential to automate repetitive tasks, deliver new strategic insights, and automate areas of knowledge work. AI may make the software development part not just easy, but more beautiful and exciting. It’s time now to get a peek into how all this magic transpires. Is there a technique for it? And if yes, how does it play out?
AI techniques are evolving and will keep getting better and sharper to bring AI closer to human intelligence’s complexity and beauty. We need a lot of work in these areas because we need to address privacy, bias, discrimination, un-explainability, and misapplication that many AI solutions face.
It is not what shoes you wear, it is what you do with them.
Well, the same thought applies to AI, too. All its humongous intelligence, accuracy, automation, augmentation, etc., will go unused unless these get channelized in the pipes of the rightly designed application. So every industry has a discrete application that is helping it derive value out of AI. Here’s a quick lowdown.
Like many other turning points in history, AI, too, faces a lot of skepticism and fear. There are many theories and assumptions that surround its evolution. Why not crack them with the right mindset instead of letting the fog confuse our AI strategies.
“Without data, you are blind and deaf in the middle of a freeway.”- Geoffrey Moore
Geoffrey Moore’s words could not have been more right. In 2021 and beyond, we are looking at a world that would feel handicapped without intelligent use of data. AI is at the forefront of this data renaissance. We can make the most of the data without exerting unnecessary human labor, supervision, and time with AI. Whether it is in text, images, or digits, AI allows a model to learn with the data in and around it. AI systems are only as good as the data they train on – As companies revisit their data strategy and map short, medium, and long-term data-driven plans to make informed decisions, there would be a need for a deeper understanding of data models.
The future of AI in work and life is full of many undiscovered possibilities as of now. We could start a new phase of human growth and power with the use of AI. Doing it ethically, prudently, and with the right strategies in place – that’s what is more important to worry about now. Because there is no shortage of tools and innovations for AI, any organization can expend the power of AI today. It is getting increasingly affordable and accessible. But what will separate the men from the boys is the ‘how’. That’s why we need to address this aspect too.
AI applications would need a new set of skills and mindsets that professionals would have to prepare for. For instance, about 56 percent of respondents felt that acquiring new skills will be required to do both existing and newly created jobs, according to a Gartner Research Circle survey. There is a significant need for skills that can handle and leverage AI productively and positively. For technology professionals, there is a vast field of opportunities opening up here. Whether it is data or software, or hardware – the possibilities are endless.
AI is the big turning point for businesses and humans. And the world needs drivers who can steer everyone in the right direction now without scratches and wrong turns. That’s why AI talent is going to see an explosive inflection point as we move ahead. That’s why you need to be ready.
TalentSprint
TalentSprint is a leading deep-tech education company. It partners with esteemed academic institutions and global corporations to offer advanced learning programs in deep-tech, management, and emerging technologies. Known for its high-impact programs co-created with think tanks and experts, TalentSprint blends academic expertise with practical industry experience.
Advance your career with the right program
Related articles
Why is AI the hottest buzzword in the Tech World?
AI today is a topic of conversation, a subject for corporate presentations, a space for technological debates; in general, a term uttered by many who are familiar with a machine. AI is a concept that is being adopted by many sectors; indeed the latest and hottest buzz word in the world of technology.
However, the fact is Artificial Intelligence has remained in the nascent stage of development for quite a while. When one hears the word `artificial intelligence’ the visuals of different characters from science fiction come to mind. What was a mythical concept of time travel or spacecraft with extra-terrestrial creatures is not considered a futuristic science anymore? Though still primitive in form, AI can solve unique business problems, provided one knows and decides how to leverage the technology to its potential.
James Goodnight, Co-Founder and CEO of SAS says: `AI is certainly being hyped as another buzzword, and there are many companies rushing to jump on the AI bandwagon’. Despite the hype, AI is a significant emerging technology that will continue to grow in importance. Years ago the term `cloning’ became very popular; and in course of time, was included in the general context and usage, where anything which is replicated was described as `cloned’. Dolly, the sheep (the first mammal cloned from an adult somatic cell) became a widely talked about subject. Along the same lines, people have started using AI to describe any analytics problem, be it faulty equipment or credit card fraud. The catchword now is AI, and Sophia, the Robot has replaced Dolly sheep. With everyone using the buzzword AI, one needs to see whether reality aligns with this hype.
There is so much information on the internet stored in the last few years. Wall Street Journal recently stated that the internet is filling up with good morning messages, and largely by Indians, many of whom are yet new users of the internet! On a more serious note, there are huge quantities of data collected and stored in the recent times. Almost all information is online and accessible to net browsers. A tool to statistically filter, analyze and process large data sets, not merely as a process but with intelligence, is the primary need of industries, investors, for that matter, any establishment across sectors and geographies. A growing technology like AI can unlock the value of data, and eventually help transform businesses, industries, and above all, people’s experiences. It is no surprise that AI being such a powerful concept has become not just a household term, but a word across the technology world.
Though the research in Artificial Intelligence dates back to the 1940s, it is only around the 1980s that AI progressed from research to application. In recent years, however, interest in the field of artificial intelligence has sky-rocketed as evidenced by the amount of funding invested in researching and adopting it.
To go back to sci-fi, we have seen in many robots featuring stories about how the machine ultimately overpowers the man to the point of bringing about total annihilation. This threat could be as real as the creation of artificially intelligent robots. Well, known personalities like physicist Stephen Hawking and Tesla CEO Elon Musk have been stressing on the importance of regulating artificial intelligence.
There is merit in the thought that AI technology will help society in a range of areas like transportation, education, health, manufacturing, retail, arts, medicine and so on. It can be a danger though if used to build weaponry. Leaders across the world have found this worrisome, even terrifying.
One has to admit, turning a buzzword into business is exciting, but like communications specialist Lindsay Kwan says: The danger of artificial intelligence is that we can both overestimate its power today and underestimate its capabilities tomorrow.
Which, between the two, is riskier, is a matter of conjecture.
AI has come to stay high
In the mid-eighties, Small Wonder, a sci-fi TV series entertained adult and child alike. The story revolved around an android in the form of a 10-year-old girl. Looking back, the series was indeed very amateurish and loosely structured. The point is it introduced for the first time, the machine made man to the lay person. Thirty odd years later we hear of Saudi Arabia’s decision to grant citizenship to a robot. Endowed with artificial intelligence, visual data processing and facial recognition, the robot, Sophia is designed to get smarter over time.
The citizenship as such is of hardly any consequence; what it signifies is that Artificial Intelligence (AI) has come of age. Critics have spoken at length about the absurdity of awarding citizenship and an array of rights to a robot, while Saudi ironically is yet highly restrictive about women’s rights. However, many see this as a positive move towards making the country tech savvy and progressive.
In the computing history, man and machine interfaces have only improved and enhanced over a period of time – hence both are not mutually exclusive. Satya Nadella, CEO of Microsoft, said AI, mixed reality, and quantum computing will shape the world in the coming years. The crux of the matter is that the technology world will have a blend of the real and virtual. While current technology enables in us the ability to collect data, Nadella referring to AI says, what is more important is to reason over the data to create intelligence. This is most critical as a differentiator between mechanical equipment and an AI enabled robot. In the mid-fifties the term GIGO (Garbage In Garbage Out) became a descriptive term for computers, primarily because the machines lacked the ability to think for themselves. Whatever output emerged was only as accurate as the information entered. Deep down, computers still are improvised calculators. Recent development in AI comes under the aegis of `machine learning’ and involves programming computers to learn from example data or past experiences and process information based on that.
So how does machine learning impact tasks and get independent of human influence (in terms of execution of task)? Let’s take an example: Automatic transmission in cars has been prevalent for quite some time and in India, they are getting popular by the day. With increasing traffic bottlenecks people are finding it more convenient to drive a car which does not require changing gears. The driver needs to navigate by keeping the steering in control. With AI, autonomous driving, a wide step ahead of automatic transmission, the technology required for a car to accelerate, turn, and brake on real time roads without human intervention is not anymore impossible or far into the future. The recognition that autonomous driving was a prediction problem solvable with machine learning meant that autonomous vehicles could start to become a reality in the marketplace years earlier than has been anticipated.
By breaking down tasks into components, we can begin to see how AI will affect the workplace. AI is usually framed in terms of machines versus humans, but gradually we see it more in terms of understanding the level of judgment necessary to pursue actions. In cases where whole decisions can be clearly defined with an algorithm (for example, image recognition and autonomous driving), we expect to see computers replace humans. This will take longer in areas where judgment cannot be easily described – where there is high level of ambiguity in arriving at decisions or solutions. In other words, where the task is not a mere process with anticipated outcome and the pros and cons fail to fall into previous experience; AI may not accomplish the same without human intervention.
Product companies are all uniformly using AI during their product launches. This has caused excitement as well as anxiety amongst the people. Will AI assist and enable humans to perform better and with ease, or will AI replace humans to the point of redundancy?
With AI moving into the cerebral workspace, it cannot be denied that it will soon take over many tasks hitherto performed by humans. Just as the advent of machines had a significant impact on how people performed physical labor and dispensed with many jobs handled by humans, AI is soon to be responsible for transitioning many of the tasks performed by humans to robot responsibilities.
In the medical field, AI can help improve diagnostics to a very high level, treatment and care will still require human attention and action. Online shopping has rendered many counter sales jobs redundant; but, at the same time courier and door delivery jobs have increased. Apart from these examples, AI is already playing a large role in the areas of music, architecture, education, manufacturing, gaming and just about any sector or industry. In the corporate world (as a quick example) AI has gotten into recruitment – a very important task in any company. Automatic process was only used before to sort resumes based on keywords. Now, many organizations like Ola or Accenture are using bots to streamline their recruitment processes.
As Artificial Intelligence systems evolve and become more and more sophisticated, job displacement is bound to happen. However, interestingly, many new jobs very different from the ones that are currently in existence will be created. Jobs that involve creativity and those that require advanced degrees and highly specialized skill sets will be available alongside the continuous technology transformation.
AI and its Impact on Jobs
The world, at the moment, is awash with speculations, opinions, and fears about artificial intelligence and its perceived `threat’ to human held jobs. Many researchers and scientists are still of the conviction that AI cannot, in actuality, replace human intelligence. They still maintain that AI can assist and augment but never take the place of humans at the workplace.
AI has been an area of passion and pursuit for a long time. However, it is in the recent years that it has come to stay, moving from the research desk to active field. AI is now dominant, taking on an exponential role, influencing particularly the fields of gaming, natural language processing, speech and handwriting recognition and robotics.
Since artificial intelligence is poised to take on many tasks that the human has so far been performing, is there a threat of unemployment across the globe? How is AI going to impact the job scene world over?
Leading research and advisory firm, Gartner comforts job holders in its statement: Robots are not here to take away our jobs; they’re here to give us a promotion. Instead of replacing the human at work, artificial intelligence may increase the number of job opportunities, especially in healthcare, public sector, education, to name a few. As the gig economy is gaining popularity, retail, manufacturing and transportation could possibly be the first to adopt AI for work. Industry heads are not as optimistic as Gartner. Leading personalities Elon Musk and Stephen Hawking feel AI may go beyond taking away people’s jobs. AI could eventually become a real threat to human beings. For now, it is helpful and comforting to go with Gartner’s report which states by 2020, AI will generate 2.3 million jobs, exceeding the 1.8 million that it will remove.
When one of the Big Four consulting firms, Deloitte delved into UK census data for the last 140 plus years only to discover that technology has very steadily taken over many jobs that were being handled by humans. Deloitte also quickly pointed out that jobs in the professional sector have increased multifold.
This pattern of generating new jobs as and when a machine takes over current jobs will continue in this era of AI. Emerging technologies will allow for emerging new jobs, not only for people working with new technologies but also for the enablers who need to manage the increasing requirements of content development and training to bring people up to speed.
The fact is, AI is contributing in a major way to the evolving landscape of work. Going back to the gig economy, the concept is gaining prominent space as it provides scope for professional work within a time-bound period. The big gig companies differ from traditional firms not only in conducting business online but also in allowing and encouraging individuals to freelance and engage `just in time’. As TED CEO Richard Saul Wurman sums up the online marketplace platform: For the first time in human history, individuals can design a life around the pursuit of interesting work.
AI is going definitely going to define the way work happens. How much humans will be involved in `working’ is a subject of speculation for anyone who is familiar with AI. But if we have to think about the next decade, we need to remember though AI is enabling a machine to be independent of man, it is dependent on data. The more data AI consumes the smarter it gets. But to sift data and feed AI and obtain output is a process as laborious as the creation of AI.
Google AI chief John Giannandrea explained this concept of AI’s need to be fed data by using an example involving his 4-year-old daughter. She was able to identify a 19th-century “penny-farthing” bicycle anywhere once he had told her what it was. But computers, need to be shown 100,000 penny-farthings before identifying one. Once they’d seen 100,000, they’d probably be better at identifying them than humans are.
Companies may talk at length about AI and secretly look forward to right-sizing their employee base by bringing in machines. However, they would need to clean up messy databases, work on file management and in overall make their data algorithm-friendly, before any machine can really take over a man’s job. How long will this take? Well, time will tell.
