There is no doubt that Artificial Intelligence is the future of the world, and it will eventually seep into our lives in all sorts of ways. AI will drive the economy of tomorrow, and if properly harnessed, it can generate enormous prosperity for humanity and take us all to the next level. In short, AI is being used to create an upgraded world.
No wonder AI Skills are amongst the most in-demand, and “AI predictions for 2020″ is one of the most searched topics today. Hence, everyone wants to stay updated and connected with its innovations to have an edge in this fast-paced system. However, you have to know the past and understand the present to be prepared for the future. Hence, we will start with the “Evolution of Artificial Intelligence” before delving into why Ai is essential. Here is what we have:
It might have started as fragments of imagination long before; however, the Dartmouth Summer Research Project on Artificial Intelligence was a seminal event for artificial intelligence as a field. In 1956 Dartmouth College professor John McCarthy coined the term “artificial intelligence” and organized an intensive summer workshop bringing together leading experts in the area.
The next notable event on AI was when computers got their first voice. ELIZA, developed at MIT by Joseph Weizenbaum in 1966, was perhaps the world’s first chatbot. ELIZA couldn’t talk like Alexa but communicate through text.
It took time, and there were multiple experiments and successes in between. But the rise of useful AI happened in 1980 when Digital Equipment Corporation’s XCON expert learning system was deployed and by 1986 was credited with generating annual savings of $40 million. The rollout of smart machines into the business had begun, and by 1985 corporations were spending $1 billion per year on AI systems.
Fast track to 2012, the power of deep learning was unveiled when researchers at Stanford and Google explored unsupervised learning that accelerated the pace of AI development and opened a new world of possibilities when it came to building machines to do work, which until then could only be done by humans.
Soon after, in 2015, machines started identifying better than humans. Researchers declared that computers could identify objects in visual data more accurately than humans for the first time.
The next most significant leap in the history of AI in business was in 2018 when self-driving cars hit the roads for the first time after successful testing for quite some time. Launch of Google spin-off Waymo’s self-driving taxi service in Phoenix, Arizona, was the event.
Another quite notable surprise was from Google in 2018 when they unveiled Duplex. An addition to the Google Assistant, Duplex could make calls on behalf of a user and perform tasks such as booking restaurant tables and hair salon appointments.
The pace of AI evolution took the fast route in recent times, and numerable attempts are being currently made to get it mainstream, and quite successfully, it is happening for good. Here is a set of entities that have been making phenomenal progress in bringing AI to life. They were recently recognized in the 2019 AI Breakthrough Awards program. Some of the winners for Best AI-based Solution for the following categories were:
- Advertising: AdTheorent
- CyberSecurity: ExtraHop
- Customer Service: LivePerson
- Workforce Management: Kronos
- Manufacturing: FogHorn Lightning™
- Marketing: Criteo
- Retail: Axonify
- Best Predictive Analytics Solution: IBM Watson
- Best Overall AI-based Analytics Solution: Cognizant, Xtreme Data Engineering (XDE)
- Best Overall AI-based Analytics Company: Absolutdata
- Best Transactional Bot Solution: Mya Systems
- Best Chatbot Solution: Verint
- Best AI Solution for Big Data: NetApp ONTAP AI
Having said all these, we foresee AI to bring in a new era going ahead in 2020. The emergence of Smarter Tech is the visible next level where informed decision-making through empowered computer algorithms is becoming the critical business differentiator across industries. Gartner predicts that the business value created by AI will reach $3.9T in 2022. As AI becomes more capable of analyzing and interpreting data faster, businesses will build better, more personalized, and profitable campaigns.
Beyond this point, AI will progress to levels of Assisted Intelligence to Augmented Intelligence and finally Autonomous Intelligence. The best we can do is adapt to it and embrace the possibilities.
The Various Progressive Levels of Artificial Intelligence:
It’s clear that we are sitting on the cusp of AI innovation, and for a more in-depth understanding, it is necessary to break it down further. For instance, let’s look at the three forms or levels of artificial intelligence that exist today:
- Assisted Intelligence: This is a widely available level of artificial intelligence, which makes your existing task more manageable by “assisting” you, i.e., taking over a lot of repetitive & standardized actions. Customer service chatbots and the Gmail algorithm that sorts your mail into “Primary,” “Social,” and “Promotions” are a couple of examples that explain this form of AI.
- Augmented Intelligence: This is still an emerging technology that is taking AI to the next level. This form of artificial intelligence, unlike Assisted Intelligence, “augments” or “enhances” the task being performed by humans. Augmented intelligence focuses on to enhance human knowledge rather than replace it. The current use of augmented intelligence includes Personal Budgeting Assistants & Algorithms that enable Ride-Hailing Cab businesses.
- Autonomous Intelligence: This is the future of artificial intelligence, where machines will be able to act on their own, practicing complete autonomy i.e., freedom. Imagine self-driving cars, doctor-less hospitals, or robots making their music. Implementing technology that involves autonomous intelligence where human interaction or decision-making would not be required at all, would be mostly dependent on the amount of trust we’re willing to put on these solutions.
When enterprises reach a stage where they have to consider introducing AI across various functionalities, the questions they’ll have to ask themselves would be allied with the level of AI they choose – whether they want to some assisted intelligence that automates monotonous work? Or whether they want humans & machines to work in collaboration making decisions with augmented intelligence? Or do they want to hand over all the decision making to machines that use autonomous intelligence?
Artificial Intelligence in Business Functions:
Though there is a growing buzz around artificial intelligence, business leaders are still not exactly sure where they could apply AI to benefit the functional units. This is not surprising as embedding AI across the business requires significant investment in talent, technology, and organizational transformation. While applications of AI covers the entire range of functional areas, specific use cases have let us identify the most significant impact it can have in the following instances:
- AI for Business Insights: With the assistance of AI activated predictive analytics and data-based insights, businesses can now benefit in multiple ways such as lower costs, better service quality, and be proactive in anticipating market risks.
- AI in Marketing: Marketing is one function that has already been at the forefront of evaluating, testing, and applying AI to predict consumer behavior and making product recommendations. AI has tremendously empowered marketers with the ability to identify, understand, and know their target consumers.
- AI in Sales Enablement: There are multiple methods through which machine learning can offer recommendations on actions that businesses take to boost their sales channels. AI enhances the capability of sales data and establishes the much-needed connection between a customer’s intent and revenue pipelines.
- AI in Procurement and Supply Chain: Smart contracts where procurement systems are truly autonomous is the future of strategic procurement. With the influx of AI, tasks like automated buying, AI-assisted vendor sourcing, and intelligent chatbots that provide inquirers with instantaneous insights and support are becoming a reality.
It would be very wrong to stop just about here and say that these are only areas where AI can be embedded and harnessed. AI‘s impact and its penetration are becoming strong every moment, and there are and will be numerous use cases. However, for the sake of this particular discussion, and the first half of 2020, we will stick to the above areas only.
In line with this thought, we at Research NXT take pride in announcing our first ever researches on AI in this upcoming new year. Two areas that we will mainly focus on will be AI in Marketing and AI in Procurement. That means that will be much such exciting news, updates, and discussions around AI that we will be publishing in the coming weeks. We will also be interviewing the industry experts and get their best practices around AI enablement to derive better business results.
Here’s whats store for you in the respective reports:
AI in Marketing
Report Title: Strategy & Trends Report: AI in Marketing – 2020 | Global
Release Date: March 2020
- Market Maturity Model For Ai In Marketing
- AI-Enabled Marketing Technology Stack.
- Top Ai In Marketing Use Cases
- Existing Ai In Marketing Case Studies
- Top Ai In Marketing Enablement Challenges and Best Practices.
- Top AI in Marketing Initiatives Imperative for 2020.
- Research Recommendations.
- All sections will include Global and Regional Trends.
AI in Procurement
Report Title: Best Practices & Trends Report: Autonomous Procurement– 2020 Global
Release Date: April 2020
- Market Maturity Model For Ai In Procurement.
- Automated Procurement Technology Stack.
- Top AI In Procurement Use Cases.
- Existing Ai In Procurement Case Studies.
- Top Challenges and Best Practices with Automated Sourcing.
- Top AI in Procurement Initiatives Imperative for 2020.
- Research Recommendations.
- All sections will include Global and Regional Trends.