{"id":22518,"date":"2020-12-22T10:15:22","date_gmt":"2020-12-22T10:15:22","guid":{"rendered":"https:\/\/www.experfy.com\/blog\/artificial-intelligence-store-for-2021\/"},"modified":"2023-09-14T12:46:21","modified_gmt":"2023-09-14T12:46:21","slug":"artificial-intelligence-store-for-2021","status":"publish","type":"post","link":"https:\/\/www.experfy.com\/blog\/ai-ml\/artificial-intelligence-store-for-2021\/","title":{"rendered":"Artificial Intelligence (AI): What\u2019s In Store For 2021?"},"content":{"rendered":"\t\t
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This was a banner week for AI (Artificial Intelligence). The reason? Well, C3.ai came public and soared on its debut. It\u2019s certainly a validation of the importance of enterprise AI. 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.<\/p>\n\n

\u201cThe use of AI and data analytics will become increasingly important in IT as organizations aim to deliver seamless support and predictive capabilities,\u201d said Amit Sawhney, who is the Vice President of Services Operations at Dell Technologies<\/a>.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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So then, given all the investment and innovation, what might we see next year with AI? As should be no surprise, there is quite a bit. So let\u2019s take a look:<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Sri Viswanath, the Chief Technology Officer of <\/em>Atlassian<\/em><\/a>:<\/em><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u201cIn the next 5 years, increased data and privacy regulation will have a big impact on the way we design AI\/ML models. As a result, investment in data management is going to be critical in determining the success of AI systems. Companies that have better data management frameworks, platforms and systems will win in building effective AI tools.\u201d<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Anand Rao, the Global Artificial Intelligence Lead at <\/em>PwC<\/em><\/a>:<\/em><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u201cOur latest AI research shows 86% of businesses currently reaping the benefits of better customer experience through AI, and 25% of companies with widespread AI adoption expect to see the tech pay out in increased revenue during 2021. \u00a0The pandemic<\/a> has uncovered the value of AI, lending itself to enhancing tasks related to workforce planning, simulation modeling and demand projection.\u201d<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Rohan Amin, the Chief Information Officer at <\/em>Chase<\/em><\/a>:<\/em><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u201cIn 2021, we will see more sophisticated applications of artificial intelligence and machine learning (AI\/ML) across industries, including financial services. There will be greater integration of AI\/ML models and capabilities into multiple business processes and operations to drive improved insights and better serve customers.\u201d<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Kimberly Nevala, the AI Strategic Advisor at <\/em>SAS<\/em><\/a>:<\/em><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u201cAI 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 AI 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 AI adopters at all levels reported that enhancing existing products and services was their number one AI priority.\u201d<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Wilson Pang, the Chief Technology Officer at <\/em>Appen<\/em><\/a>:<\/em><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u201cIn 2021, we\u2019ll see organizations moving past just acknowledging and \u2018worrying\u2019 about bias in AI and start to make more significant moves to solve for it\u2013because it will be required. Specific teams and\/or initiatives will be formed to combat all the concerns that fall under the umbrella of responsible AI, including everything from inherent bias in data to treating data trainers fairly.\u201d<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Muddu Sudhakar, the CEO and cofounder of Aisera:<\/em><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u201cWe\u2019ll see the collaboration wars between Zoom, Microsoft, and Salesforce.com\/Slack. The winners will focus on being AI-first, which will enhance productivity and the user experience.\u201d<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Michael Berthold, the CEO and cofounder of <\/em>KNIME<\/em><\/a>:<\/em><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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“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.”<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Steve Grobman, the Chief Technology Officer of <\/em>McAfee<\/em><\/a>:<\/em><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u201cAdvances in AI 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.\u201d <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Ram Chakravarti, the Chief Technology Officer at <\/em>BMC<\/em><\/a>:<\/em><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u201cIn 2021 we will see the impacts of AI on today\u2019s enterprise via pervasive intelligence. This will have significant effects on how companies approach enterprise automation as well as their basis for the growth strategy.\u201d<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Peter Reinhardt, the CEO and cofounder of <\/em>Segment<\/em><\/a>:<\/em><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u201cConsumer companies, which tend to have more traffic and data than B2B businesses, will see the most (and quickest) improvement in their AI\/ML applications, if they test with customers and iterate. While these use cases (e.g. content ranking) may not seem futuristic, they will drive meaningful business impact.\u201d<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Bill Scudder, the General Manager of AIoT Solutions at <\/em>AspenTech<\/em><\/a>:<\/em><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u201cIn 2021, we\u2019ll see more industrial organizations increase investment in lowering the barriers to AI adoption by deploying targeted embedded Industrial AI applications that combine data science and AI with purpose-built software and domain expertise. This will be the key to overcome a lack of skills and drastically reduce the need for many data scientists.\u201d<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Scott Prevost, the Vice President of Engineering at <\/em>Adobe Sensei<\/em><\/a>:<\/em><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u201cThe most powerful application of AI will be the complement of human EQ with machine IQ\u2013where human ingenuity will merge with the power of machines to enhance human creativity and intelligence (not replace it). AI is evolving from being another technology in one\u2019s arsenal to a virtual \u2018co-pilot\u2019 that can help businesses achieve their goals faster and streamline consumer workflows.\u201d<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Clemens Mewald, the Director of Product Management of Machine Learning and Data Science at <\/em>Databricks<\/em><\/a>:<\/em><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u201cWe\u2019ll see enterprise customers moving away from building their own machine learning platforms, recognizing that it\u2019s not their core competency. They\u2019ll realize that more value comes from applying ML to business problems versus spending the time to build and maintain the tools themselves.\u201d <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Bob Friday, the Chief Technology Officer at <\/em>Mist Systems<\/em><\/a>, a Juniper Networks company:<\/em><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u201cCloud and AI will turn the customer support between both the enterprise and their customers \/ employees and between the enterprise and their infrastructure vendor upside down. With cloud AI, the vendor will let the enterprise customer know when there is a hardware or software problem. The days of arguing with their vendors on hardware and software problems are over.\u201d<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Michael Beckley, the Chief Technology Officer and cofounder of <\/em>Appian<\/em><\/a>:<\/em><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u201cSoftware vendors and AI providers such as Google and AWS will continue to strip the complexities out of operationalizing Artificial Intelligence by using low-code techniques. In 2021, the use of broadly-applicable and high-value use cases like AI-enabled Document Processing will become widespread.\u201d<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Jason Tan, the CEO of <\/em>Sift<\/em><\/a>:<\/em><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u201cIn 2021 we will see a marked increase in the number of lawsuits filed implicating artificial intelligence technologies. While we\u2019ve seen high-profile suits brought against companies over the last few years, AI is simply more prevalent in our everyday lives. As an immature technology, we\u2019re going to see AI systems make more (and new) mistakes that carry real human impact. When mistakes are made, consumers will take legal action.\u201d<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Tim Tully, the Senior Vice President and Chief Technology Officer at <\/em>Splunk<\/em><\/a>:<\/em><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u201cMore and more is happening at the edge, because we can do more and more computation as the hardware and software gets more sophisticated. Local processing reduces the latency of moving the data to the cloud to process, and you get the same results.\u201d<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Christine Boles, the Vice President of the IoT Group and General Manager of the Industrial Solutions Division at <\/em>Intel<\/em><\/a>:<\/em><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u201cThe pandemic has greatly accelerated the need for companies to complete their Industry 4.0 transformations with solutions that allow them to have more flexibility, visibility and efficiency in their operations. We\u2019ll see an acceleration of adoption of solutions that help address that need, ranging from AI including machine learning, machine vision and advanced analytics.\u201d<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Dr. Rana el Kaliouby, the cofounder and CEO of <\/em>Affectiva<\/em><\/a>:<\/em><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u201cEmotion AI software that can understand nuanced human emotions and complex cognitive states based on facial and vocal expression will address some of technology\u2019s shortcomings in light of the pandemic, and we\u2019ll see companies using it for new use cases.\u201d<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Rick Rider, who is the Vice President of Product Management at <\/em>Infor<\/em><\/a>:<\/em><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u201cIn the unpredictable job market of 2021, it will be critical for organizations to leverage AI to ensure they find the right candidate for the job. Artificial Intelligence will enable HR departments to become more proactive in their hiring and help them determine a candidate\u2019s cultural fit by using data to measure the quality of a hire.\u201d<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Richard Tomlison, the Senior Director of Product Marketing at <\/em>DataRobot<\/em><\/a>:<\/em><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u201cIn 2021 we expect budgets to be consolidated and organizations will be looking to minimize the number of AI software vendors they deal with. The market has moved from point solutions and towards full solutions with end-to-end value. It is no longer acceptable or even feasible to have multiple disparate products solving multiple disparate problems.\u201d<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Flavio Bonomi, the Board Advisor to <\/em>Lynx Software Technologies<\/em><\/a>:<\/em><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u201c2021 is the year where Artificial Intelligence will get embedded into existing devices and make certain functionality faster and more accurate as standard. Sensors can now detect any of the five senses (yes, including smell) and we will see AI increasingly applied to all of those. Examples include the ability to detect vibrations or unusual noises in a factory that ensures maintenance is performed on equipment prior to it malfunctioning. Not as sexy or as obvious as a self-driving vehicle, but practical and with a measurable ROI.\u201d<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Jason Shepherd, the Vice President of Ecosystems at <\/em>ZEDEDA<\/em><\/a>:<\/em><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u201cThe TinyML conversation that started heating up in late 2019 will reach full-on buzz in 2021. This means more on-device processing, including in smart cameras, and further realization by the telcos and traditional IT players that not all edge processing will happen in a data center.\u201d<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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lg, the President of SAP S\/4HANA<\/a>:<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u201cIn 2021, we will continue to see companies leverage data and intelligent technologies to realize smart, data-driven insights that they have never had access to before without a large-scale implementation.\u201d<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Dan Simion, the Vice President of AI and Analytics at <\/em>Capgemini North America<\/em><\/a>:<\/em><\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\u201cIn 2021, we will see an evolution of AI solutions to solve technical problems automatically and without human intervention. This self-healing mechanism will self-correct malfunctions proactively to keep critical applications operational and reduce the risk of systems shutting down.\u201d<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

The use of AI and data analytics will become increasingly important in IT as organizations aim to deliver seamless support and predictive capabilities. So then, what might we see next year with AI? As should be no surprise, there is quite a bit. Take a look.<\/p>\n","protected":false},"author":667,"featured_media":18228,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[183],"tags":[97,282,1160],"ppma_author":[3440],"class_list":["post-22518","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-ml","tag-artificial-intelligence","tag-data-analytics","tag-predictions-for-2021"],"authors":[{"term_id":3440,"user_id":667,"is_guest":0,"slug":"tom-taulli","display_name":"Tom Taulli","avatar_url":"https:\/\/www.experfy.com\/blog\/wp-content\/uploads\/2020\/04\/medium_63f5f357-f6ae-4999-b3f4-ed30406eb86c-150x150.jpg","user_url":"http:\/\/www.taulli.com\/","last_name":"Taulli","first_name":"Tom","job_title":"","description":"Tom Taulli is an author, speaker, and advisor \u2013 with a focus primarily on technology. He has co-founded a variety of\u00a0companies, including Hypermart.net (sold to InfoSpace), WebIPO and BizEquity. He is also a contributor to Forbes.com, Bloomberg.com, Kiplinger and BusinessWeek. \u00a0He has also written a variety of books, mostly on tech and finance.\u00a0 His latest is\u00a0Artificial Intelligence Basics: A Non-Technical Introduction<\/a>. \u00a0As of now, he is an advisor to some awesome startups."}],"_links":{"self":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/22518","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/users\/667"}],"replies":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/comments?post=22518"}],"version-history":[{"count":4,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/22518\/revisions"}],"predecessor-version":[{"id":32976,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/22518\/revisions\/32976"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media\/18228"}],"wp:attachment":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media?parent=22518"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/categories?post=22518"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/tags?post=22518"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/ppma_author?post=22518"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}