This was a banner week for (Artificial Intelligence). The reason? Well, C3.ai came public and soared on its debut. It’s certainly a validation of the importance of enterprise .
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Keep in mind that C3.ai provides comprehensive software solutions and services for a myriad of large companies, including 3M, Royal Dutch Shell, Raytheon, Baker Hughes and conEdison.
“The use of and data analytics will become increasingly important in IT as organizations aim to deliver seamless support and predictive capabilities,” said Amit Sawhney, who is the Vice President of Services Operations at Dell Technologies.
So then, given all the investment and innovation, what might we see next year with ? As should be no surprise, there is quite a bit. So let’s take a look:
Sri Viswanath, the Chief Technology Officer of Atlassian:
“In the next 5 years, increased data and privacy regulation will have a big impact on the way we design / models. As a result, investment in data management is going to be critical in determining the success of systems. Companies that have better data management frameworks, platforms and systems will win in building effective tools.”
Anand Rao, the Global Artificial Intelligence Lead at PwC:
“Our latest research shows 86% of businesses currently reaping the benefits of better customer experience through , and 25% of companies with widespread adoption expect to see the tech pay out in increased revenue during 2021. The pandemic has uncovered the value of , lending itself to enhancing tasks related to workforce planning, simulation modeling and demand projection.”
Rohan Amin, the Chief Information Officer at Chase:
“In 2021, we will see more sophisticated applications of and (/) across industries, including financial services. There will be greater integration of / models and capabilities into multiple business processes and operations to drive improved insights and better serve customers.”
Kimberly Nevala, the Strategic Advisor at SAS:
“ adoption will continue to gain traction in 2021 with emphasis on decisions that are not at the mercy of seismic shifts resulting from the ongoing pandemic. The focus will remain on applying to automating and augmenting core business processes where the problem space is relatively stable and desired outcomes are well-bounded. While this may seem reactionary, this continues a 2020 trend in which adopters at all levels reported that enhancing existing products and services was their number one priority.”
Wilson Pang, the Chief Technology Officer at Appen:
“In 2021, we’ll see organizations moving past just acknowledging and ‘worrying’ about bias in and start to make more significant moves to solve for it–because it will be required. Specific teams and/or initiatives will be formed to combat all the concerns that fall under the umbrella of responsible , including everything from inherent bias in data to treating data trainers fairly.”
Muddu Sudhakar, the CEO and cofounder of Aisera:
“We’ll see the collaboration wars between Zoom, Microsoft, and Salesforce.com/Slack. The winners will focus on being -first, which will enhance productivity and the user experience.”
Michael Berthold, the CEO and cofounder of KNIME:
“Because cloud and hybrid environments will become much more prevalent, data science will have to adapt. It will need to be conducted in a variety of environments and shared across them in order to maximize effectiveness.”
Steve Grobman, the Chief Technology Officer of McAfee:
“Advances in technologies, including generative adversarial networks, will make disinformation through fake content, such as deepfake videos and auto-generated social media posts, virtually indistinguishable from real content.” […]
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