According to McKinsey, 70 percent of businesses worldwide will be using at least one tool powered by artificial intelligence by 2030. The consulting company's research says that the AI global market can grow up to 13 billion USD in a decade giving a 16 percent boost to the economy. Artificial intelligence applications are rapidly expanding across all industries helping them recover after the pandemic. Here is the list of the most high-potential AI uses for the next few years. Intelligent Process Automation, or IPA, allows automating digital processes using artificial intelligence.

Artificial Intelligence (AI) has been tainted with a lot of negative press since its conception. Many people in the workforce have started to question the motives for implementing AI in factories and other workplaces. However, there are responsible AI practices aimed at making the workplace a better place for employees. A prime example of this includes the applications of AI in manufacturing. Its implementation in this industry proves that the tech is only good as its user.

Artificial Intelligence (AI) technology evolves rapidly, and it has great potential in the future. According to the latest reports, the market size of AI is projected to reach $266.92 billion by 2027 with a Compound Annual Growth Rate (CAGR) of 33.2%. A lot of world-known brands and tech companies are already using AI-powered solutions to improve the service, engage customers, enhance customer experience, and increase efficiency and productivity. Text generation, face and speech recognition, automated translation, drug discovery are a few AI achievements that are worthy of your attention. AI-powered solutions are used by dozens of companies and implemented in different fields, changing a lot of industries and reshaping the landscape of health, learning, daily living, and so on.

Randi Stipes, CMO at IBM Watson Advertising, explained that "Call for Creative" is IBM's commitment "to help the advertising industry reemerge stronger from Covid-19." Through this initiative, the tech company ultimately wants to demonstrate how artificial intelligence can drive positive change when used in a purposeful way, geared toward helping the ad industry get back on its feet after the detrimental effects of Covid-19. IBM had debuted the award-winning Advertising Accelerator tools with Watson earlier this year and gave access to the Ad Council, which it is partnering with for this project. The Accelerator harnesses AI to "continuously learn and predict the optimal combination of creative elements to help brands deploy more effective digital campaigns based on key signals like consumer reaction, weather and time of day," a statement from the company said. Brands that leveraged Accelerator experienced a 25% increase in performance throughout a campaign along with a 10% lift in site visits after one week, the statement continued.

The way people receive and consume news and entertainment has changed drastically nowadays with features such as personalized content coming into play. Other technologies have also changed the entire ball game regarding content creation and distribution. Although this subset of AI seemed to thrive, the growth was quite stagnant in the education industry, but not of late. There are many applications of AI in the education industry that have transformed the perspective of many students by enabling smart learning. So, how has AI changed the education industry and what is the future in this?

Artificial Intelligence is spreading its wings almost everywhere. Starting from the businesses to even the agricultural fields, AI is powering the world in many ways than one. There have been various discussions surrounding the fact that AI has the potential to impact the education sector as well. There seems to be various possibilities that Artificial Intelligence is expected to spur innovation in the field of education. We use education as a way to create minds equipped with utilizing and expanding the knowledge pool, whereas Artificial Intelligence provides tools for building up a progressively exact and comprehensive picture of how the human brain performs.