Friday, March 5, 2021
  • Setup menu at Appearance » Menus and assign menu to Top Bar Navigation
Advertisement
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
No Result
View All Result
Home Machine Learning

Modernize or Bust: Will the Ever-Evolving Field of Artificial Intelligence Predict Success?

March 8, 2020
in Machine Learning
Modernize or Bust: Will the Ever-Evolving Field of Artificial Intelligence Predict Success?
585
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter

In this special guest feature, machine learning platform cnvrg.io co-founders Yochay Ettun and Leah Kolben explore how AI/ML are integral to a modern organization’s success, alongside predictions, successes and pitfalls they foresee for the technology in 2020 and beyond. Yochay is an experienced tech leader with a background in building and designing products. He received a BSc in Computer Science at the Hebrew University of Jerusalem (HUJI) where he founded the HUJI Innovation Lab. Leah earned a BSc in Computer Science at the Hebrew University of Jerusalem while simultaneously working as a software team leader at WatchDox, which was later acquired by Blackberry. In her last position, she lead the startup, Appoint, as CTO – and has followed her career consulting enterprises on AI and Machine Learning.

It has become eminently clear in the
business world that AI adoption is key to remaining competitive in 2020. Simple
machine learning models have the ability to produce greater more efficient
outcomes that pose as a major advantage to your business. Organizations need
and want to modernize their data systems and build a flawless data science
strategy that will blow their competition out of the water. The problem is,
enterprises often don’t know where to start and aren’t able to scale. That’s
where data scientists, data engineers and machine learning platforms can step
in to overhaul and streamline processes. AI is changing the technology
landscape whether companies realize it or not. As the landscape continues to
evolve, companies need to adapt alongside it to stay ahead of the curve and
competition. We are making some predictions as to how different industries will
utilize AI to fuel their growth and innovation. 

You might also like

Comprehensive Report on Machine Learning Market 2021 | Size, Growth, Demand, Opportunities & Forecast To 2027

2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms

UVA doctors give us a glimpse into the future of artificial intelligence

The Evolution of Enterprise AI 

There is a reason that the most
successful companies today have massive data science teams and in-house data
science platforms. This success was recognized by other industry players, which
lead to the “race for AI”. Since 2019, enterprises across industries have
quickly built data science teams that are just now beginning to perform. As we
step into 2020, we’ll see the focus go towards optimization of models in
production to both improve production and prove their worth to business
leaders. 

Retail

AI has a variety of real world
applications to retail. This technology will transform the retail experience
for shoppers and is likely to be the most customer facing evolution. As many
have likely already noticed, advancements in recommendation engines and search
now move across platforms. That means the opportunity for retail companies to
give a better overall shopping experience, connecting both in store and online
experiences to one. 

Cybersecurity

2019 has seen its fair share of
cybersecurity scandals, including those with US Customs and Border Protection,
American Medical Collection Agency and First American. As businesses grow,
their risk of cyberattack increases and they must seek new ways to safeguard
themselves and their information. Some of the biggest challenges cybersecurity
faces today can be combated with AI. Digital risk management and network anomaly
detection being some of the greatest threats to today’s business can be solved
using predictive models and more accurately measure risk.   

Healthcare

According to a Gartner study, 65% of
all automated healthcare delivery processes will involve some form of AI by
2025. Through process standardization facilitated by AI technology, healthcare
functions will become more precise for both patients and caregivers, and likely
less expensive. In the field, healthcare practitioners are getting more
informed in how to utilize and compliment doctors from diagnosing pneumonia to
detecting cardiovascular disease. In addition, we’re seeing emerging evidence
that the expected potential of AI to help decrease medical error and improve
diagnostic accuracy and outcomes is being realized through public medical
journals and professionals. 

Financial Services

The financial services industry will
likely be influenced the most by machine learning. ML and AI are most effective
in automating manual tasks. In an industry like finance, there are a lot of
tedious and outdated systems which means that there is a lot of room for
improvement. With the quick adoption of ML and AI in finance, we’ll begin to
see a rapid change in the efficiency of financial services. Technologies such
as robo-advisors for wealth management and fraud detection are critical in
staying competitive amongst the financial services industry. 

The bottom line is that companies need to adapt and incorporate AI/ML to increase productivity and ultimately heighten success. As the base for data science teams have already been established, 2020 will be a year of improving customer facing AI. Data professionals will now need to prove the success of their work by focusing on business impact, and showing the results. The companies that are able to focus on the performance of AI in their business will likely succeed. We’ll see enterprises utilizing the most up and coming data science tools and methods will likely be the most successful in producing high impact AI. Keep an eye out as the top performing companies of 2020 begin to emerge. You’re sure to see a very intentional AI strategy, and high investment in AI development and management. 

Sign up for the free insideBIGDATA newsletter.

Credit: Google News

Previous Post

Brazil ranks third in email security threats

Next Post

One of Roman Abramovich's companies got hit by ransomware

Related Posts

Comprehensive Report on Machine Learning Market 2021 | Size, Growth, Demand, Opportunities & Forecast To 2027
Machine Learning

Comprehensive Report on Machine Learning Market 2021 | Size, Growth, Demand, Opportunities & Forecast To 2027

March 5, 2021
2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms
Machine Learning

2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms

March 5, 2021
UVA doctors give us a glimpse into the future of artificial intelligence
Machine Learning

UVA doctors give us a glimpse into the future of artificial intelligence

March 5, 2021
Machine intelligence – Spy agencies have high hopes for AI | Science & technology
Machine Learning

Machine intelligence – Spy agencies have high hopes for AI | Science & technology

March 5, 2021
AI and machine learning’s moment in health care
Machine Learning

AI and machine learning’s moment in health care

March 4, 2021
Next Post
One of Roman Abramovich’s companies got hit by ransomware

One of Roman Abramovich's companies got hit by ransomware

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recommended

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

January 6, 2019
Microsoft, Google Use Artificial Intelligence to Fight Hackers

Microsoft, Google Use Artificial Intelligence to Fight Hackers

January 6, 2019

Categories

  • Artificial Intelligence
  • Big Data
  • Blockchain
  • Crypto News
  • Data Science
  • Digital Marketing
  • Internet Privacy
  • Internet Security
  • Learn to Code
  • Machine Learning
  • Marketing Technology
  • Neural Networks
  • Technology Companies

Don't miss it

Accellion zero-day claims a new victim in cybersecurity company Qualys
Internet Security

Accellion zero-day claims a new victim in cybersecurity company Qualys

March 5, 2021
How to Meet the Enterprise-Grade Challenge of Scaling AI 
Artificial Intelligence

How to Meet the Enterprise-Grade Challenge of Scaling AI 

March 5, 2021
Comprehensive Report on Machine Learning Market 2021 | Size, Growth, Demand, Opportunities & Forecast To 2027
Machine Learning

Comprehensive Report on Machine Learning Market 2021 | Size, Growth, Demand, Opportunities & Forecast To 2027

March 5, 2021
GAO report finds DOD’s weapons programs lack clear cybersecurity guidelines
Internet Security

GAO report finds DOD’s weapons programs lack clear cybersecurity guidelines

March 5, 2021
Convergence of AI, 5G and Augmented Reality Poses New Security Risks 
Artificial Intelligence

Convergence of AI, 5G and Augmented Reality Poses New Security Risks 

March 5, 2021
2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms
Machine Learning

2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms

March 5, 2021
NikolaNews

NikolaNews.com is an online News Portal which aims to share news about blockchain, AI, Big Data, and Data Privacy and more!

What’s New Here?

  • Accellion zero-day claims a new victim in cybersecurity company Qualys March 5, 2021
  • How to Meet the Enterprise-Grade Challenge of Scaling AI  March 5, 2021
  • Comprehensive Report on Machine Learning Market 2021 | Size, Growth, Demand, Opportunities & Forecast To 2027 March 5, 2021
  • GAO report finds DOD’s weapons programs lack clear cybersecurity guidelines March 5, 2021

Subscribe to get more!

© 2019 NikolaNews.com - Global Tech Updates

No Result
View All Result
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News

© 2019 NikolaNews.com - Global Tech Updates