Five AI Trends to Watch out for in 2020

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“We believe 2020 will be the year when companies become laser-focused on AI value, leap out of experimentation mode, and ground themselves in reality to accelerate adoption,”

-Forrester analysts write

 

2020 is about to witness a paradigm shift brought about by AI trends in spheres of:

 

  • Drug discovery & healthcare
  • The geopolitical implication of AI
  • AI for small form factor devices
  • Quantum computing will revolutionize AI – in aerospace 
  • AI in retail – AI digital twin in online shopping

 

AI in Drug discovery & Healthcare:

 

Artificial intelligence in medicine and healthcare, in the year, 2017 was valued at $719 million, globally. Now, it is estimated to reach $18.1 billion at a CAGR of 49.6% by 2025. Once a mythical science fiction is now a reality in modern-day healthcare.

“AI’s main impact in 2020 will be transforming healthcare workflows to the benefit of patients and healthcare professionals alike.”

-Jeroen Tas, Philips’ Chief Innovation & Strategy Officer

 

Dr Eric Topol, physician, scientist, and researcher, in his latest book Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again, throws light on how AI can resolve some of the biggest challenges in drug discovery and health care. 

Drug selection using AI capabilities

Real-Life use of this was a program trying to find new therapies for Ebola through drug repurposing conducted by the University of Toronto startup Atomwise.

The drug, BPM31510, is currently in phase II clinical trial involving people with advanced pancreatic cancer. The company Berg LLC is also using this AI system to look for drug targets and therapies for other conditions, including diabetes and Parkinson’s disease.

The Geopolitical implication of AI

 

Did you vote because of AI? AI can be used to send political messages that are deceitful and fake, by analyzing the unique psychographic and behavioural user profiles of voters. Having garnered attention for widespread usage, Deep fake technology in politics has continued to gain momentum. Being used to create fake news, malicious hoaxes and financial fraud, deep fakes have evoked responses for its restricted usage from both industry and the government.

Geopolitical implication of AI

Politicians can leverage AI trends to better to gain a competitive advantage over their peers. By analyzing the unique psychographic and behavioural user profiles of voters; Artificial Intelligence is being used to persuade people to vote for a specific candidate However populists can use it to create a bias against that candidate’s opponent, benefiting from stirring us vs. them narratives.

 

During the US Presidential Elections, in the year 2016; researchers from the University of Washington discovered that automated social media bots were being used to increase the Twitter traffic for pro-Trump hashtags. The political consulting firm, Cambridge Analytica (now defunct), was accused of helping Donald Trump win the election by promoting anti-Hillary Clinton content among voters.  

AI for small form factor devices

In 2018, the global AI market was $20.67 billion. It is projected to reach $202.57 billion by 2026, exhibiting 33.1% CAGR for the forecast period.

 

Artificial Intelligence based on high-performance and power-efficient devices is now smaller and more conventional than the similar.

AI generally uses 32-bit floating-point math as available in high-performance computing systems. High-performance devices (e.g. GPUs, clusters, data centres, etc.) generally use 32-bit floating-point math, which AI is well-versed with. This allows for more accurate results and easier training of models. But, it has also ruled out low cost and low power devices that use fixed-point math.

This opens up new frontiers for engineers to implement the latest AI trends in their miniature or small form factor (SFF)designs.

For example, low-cost Electronic Control Units (ECUs) in vehicles and other embedded industrial applications.

 

 

Benefits of AI in retail

 

“Looking ahead to 2020, CIOs will need to better assess the value of their AI bets and prove that ROI to the business”

-Kara Longo Korte, director of product management at TetraVX

 

Though digitization has taken a toll on the retail market, the brick and mortar sales aren’t fading away anytime soon.

According to Euromonitor International, 83% of the merchandise purchased globally will still be bought in-store. 

However, to make a complete comeback to the millennial and Gen Z generation, it’s extremely essential to enhance the real-world shopping experience. It’s just then when AI can come into the picture to create opportunities to bridge the gap between the virtual and real-world experiences. In the world of retail implementation of AI can:

 

  •  Create rapid, data determined decisions
  •  Facilitate enhanced production outcomes
  •  Advance process effectiveness
  •  Minimize operational costs
  •  Facilitate superior scalability
  •  Facilitate product development

No matter how big or small the retail location may be, AI today is at the forefront of in-store tech. Retailers today have effectively merged technology and function providing a user experience that covers the best of both worlds. 

 

Quantum computing will revolutionize AI – in aerospace 

 

With quantum supremacy, a quantum computer can perform operations that a classical computer practically cannot in a given time frame. Implementation of quantum computing in artificial intelligence techniques will not only upgrade machine learning techniques but also lead to the enhancements of other prediction systems. 

 

Superposition, quantum mechanics phenomenon and entanglement enable quantum computing to perform computations that are much more efficient than classical AI algorithms. This finally led to the evolution of an interdisciplinary field called Quantum Artificial Intelligence(QAI).

 

A joint venture of NASA, Universal Space Research Association and Google, the Quantum Artificial Intelligence Lab; pioneers research on the implementation of quantum computing on machine learning and AI.

 

In the age of AI, reskilling is a very common scenario. As per a survey by IDC by 2025 over 75% of organizations will invest in reskilling programs to bridge the rising skill gap. To treat AI as a boon or a bane is a choice that we are supposed to make. As per the growing tech hype; the year 2020 shall be witnessing many more trends than the ones mentioned in the curated list about. Drop your interesting insights in the comment section below.

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