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8 Ways AI, and Machine Learning Will Progress in 2020

8 Ways AI, and Machine Learning Will Progress in 2020

Enhanced environmental processes, advances in our healthcare practices, better customer service, and more.

Last December, I discussed eight predictions for A.I. in 2020 from some of the world’s largest and most successful tech companies.

This week, I’m revisiting the topic with eight new predictions that are insightful, intriguing, and interesting.

Thanks again to Gil Press at Forbes for sourcing some of these amazing quotes.

Feel free to comment with your thoughts and anecdotes concerning what’s in store for the AI and ML industry this year.

1. Employees Will Have Enhanced Opportunities and Will Become More Accountable

Amichai Schreiber, Co-Founder, and CTO, InnerMobility by Gloat has predicted that:

“As opposed to being a cause of job insecurity in 2020, artificial intelligence will prove to be a crucial tool for improving careers. Through A.I., employers will be able to provide enhanced opportunities for their employees and facilitate the diversity of experience they crave. Thanks to A.I., employees will be able to expand and enhance their skill sets and ensure they stay relevant in a rapidly evolving market. Accountability, particularly concerning explaining results and bias prevention, will continue to go hand-in-hand with A.I.’s development.”

This means that A.I. tools could streamline mundane office processes, and analytical data may well become simplified as tools convert the information into graphs, pie charts, and tangible information.

Additionally, businesses may find it easier to measure the ROI of various campaigns, aided by next-gen A.I. software and applications.

2. A.I. will Become Mainstream in Healthcare

Elad Walach, Co-founder and CEO, Aidoc has said:

“2020 will be the year that A.I. goes mainstream in healthcare. After 2019, which was an early-adoption year, more medical centers will begin to realize the benefits of A.I. as word of mouth spreads among the community. Counter-intuitively, this will actually lead to fewer A.I. healthcare companies overall as there will be winners and losers.”

We already see A.I. implemented to reduce inefficiency in diagnoses across healthcare institutions and clinics. A.I. is making it easier to diagnose some forms of cancer, and there are apps that allow us to check our symptoms, potentially avoiding a costly trip to see a physician. If that wasn’t enough, BuiltIn.com wrote a wonderful piece outlining 29 other ways that A.I. is enhancing this industry.

3. AI Will Drive Sustainability

Dr. Michael Feindt, Strategic Advisor and Founder of Blue Yonder, a JDA company has said:

“A.I. will drive sustainability in 2020 and beyond. By leveraging A.I. algorithms, companies can measure environmental and social impacts, automatically make responsible corrections, and optimize operations for sustainability. Though the sustainability challenge grows more complex every day, these technologies can help businesses to operate responsibly — and profitably — via reduced waste, more efficient production, smarter transportation strategies, and reduced resource consumption.”

This is fantastic news for anybody reading this piece who is environmentally responsible, and even better news for those who aren’t quite there yet. A.I. will do it for you! In all seriousness, it’s excellent news that we’re putting technology to great use, making the Earth more liveable for our kids and grandkids.

In April of this year, Naveen Joshi wrote a piece for Forbes that discussed ‘How IoT and A.I. can Enable Sustainable Environmentally.

4. Machine Learning will Help Businesses Streamline Mission-Critical Processes

Monte Zweben, CEO, Splice Machine commented:

“In 2020, the companies that are going to be successful in operationalizing machine learning as part of their mission-critical processes will break organizational silos to form multi-disciplinary teams. These teams will include data engineers, application developers, and data scientists who will focus on applications rather than on data lakes. They will integrate machine learning native to the applications to avoid the data swamp.”

According to MartinFolwler.com, a Data Swamp is:

“The term that describes the failure to document the stored data accurately, resulting in the inability to analyze and exploit the data efficiently; the original data may remain, but the data swamp cannot retrieve it without the metadata that gives it context.”

It looks like these ‘Swamps’ will become avoidable with advances in ML technology and savvy data-scientists as we stride into 2020.

5. ChatBot Applications will Improve

According to Ido Bornstein-HaCohen, CEO, Conversocial

“Bots are no longer limited to simplistic customer interactions. They utilize natural language processing to comprehend the user’s intent better and deliver useful, appropriate responses. With more conversations being successfully navigated by bots, brands will increase their usage in order to improve response times and drive greater contact center efficiencies.”

Many of us have been stuck in a conversation with a chatbot that’s inefficient, annoying, and a waste of valuable time. Sometimes, it’s hard enough just trying to find the ‘x’ to close a ChatBot app on a website.

Here’s hoping that these applications will be smoother, and easier to provide the information we desire or point us to a human that can help us in the near future.

6. AR Will Help More Businesses Solve Their Problems

Image Source: Pixabay

Emil Alon, CEO, Resonai, has said:

“In 2020, we will see A.R. regarded as a business solution that solves problems across industries and changes the way businesses operate. A.I. and A.R. will continue to expand into new industries such as commercial real estate and other verticals within physical real estate such as malls and other retail facilities. Key product features will include A.R. for Indoor Navigation, AR search, A.R. ticketing systems. Leading apps/use cases will include apps for building maintenance and Operations, apps as central IoT controllers, and digital concierge for access control and navigation of buildings.”

The advances in A.R. integration remind me of the ‘Minority Report.’ I think it’s a great technology and can see it having a fantastic impact on the residential and commercial real estate industry, particularly when combined with V.R.

Is this the ‘Death of a Salesman’ at least in real estate terms? Is this the end of the ‘Open House’? I’ll let you decide.

7. A.I. and Robotics Will Change the 2020 Olympics, the Sport’s Industry, and Polling for the U.S. Elections.

Abhijit Sahay, Chief Transformation Officer-Data, Altimetrik has said:

“Artificial intelligence will be on full display at the Olympic Games in Tokyo next year. We can expect robotic assistants, powered by A.I., to be part of publicity stunts leading up to the Games and actively helping officials during live events, like flagging ‘off-sides’ in football matches, for example. A.I. will also likely be involved in predicting polling and projections in the U.S. presidential elections, further bringing this technology into the mainstream view.”

Robotic assistants will actually seat people and serve food and drinks at the Japan 2020 Olympics. Modern tech has helped the sports world tremendously in terms of identifying fouls in a variety of sports. But will we see predictive A.I. being used by teams to study the moves of their opponents in a more mainstream fashion? And how would that fair for bookkeepers if this tech got into the wrong hands. A.I. and machine learning could turn the betting industry on its head

8. AI Will be Able to Provide Tangible Debt Management Advice

Image Source: Unsplash

Adrian Nazari, Co-Founder, and CEO, Credit Sesame stated:

“Thanks to significant advances in machine learning, 2020 will be the year that A.I. tackles the full scope of financial services. 2019 saw the rise of the robo-advisor for assets, like investment management, but cracking the liabilities side of personal finance has proven much more difficult. Now A.I. has advanced to the point that it can take into account all the factors that go into debt management to make personalized and actionable recommendations for consumers.”

This is excellent news for people that struggle to manage their debts and will also help to lessen the workload of human debt management consultants.

2019 has been a massive year for A.I. and Machine Learning,

According to Analytics Magazine India, this year, we’ve seen six fantastic breakthroughs in the A.I. industry:

“OpenAI’s successfully trained a robot hand called Dactyl that adopted to the real-world environment in solving the Rubik’s cube.

Samsung, in May, created a system that can transform facial images into video sequences. They used the generative adversarial network (GAN) to create deep fake videos just by taking one picture as input.

OpenAI, in February, released a small model called Generative Pre-Training (GPT) to generate synthetic text automatically. The firm eventually released the full version of the model, GPT-2, in November. On writing a few sentences, the model perfectly picked the context and generated text on its own.

Google’s DeepMind changed the way reinforcement learning works to gamify memory. To allow A.I. agents to make better decisions in the present, they used Temporal Value Transport (TVT) for sending lessons from the future.

A team from Swiss AI Lab introduced a new methodology calling it an upside-down reinforcement learning. They successfully carried out reinforcement learning in the form of supervised learning. This allowed the team to provide rewards as input, which is contrary to how the traditional reinforcement learning work.

For the first time, firms are able to clear the cloud and gaining insights into the way the black box works. Although one cannot yet obtain all the aspects of a conclusion from models, it has a more prominent role to play in democratizing A.I.”

Last year saw some of the most beautiful advances in the data science industry. As a species, we’re creating technology for the greater good. I hope you’ve enjoyed my roundup of these expert predictions.

Article Source: https://towardsdatascience.com/8-ways-ai-and-machine-learning-will-progress-in-2020-61c4212278d1