AI In A Post Covid-19 World

Learn what people think about AI and how they think it will impact their roles and businesses, post COVID.

Discover how AI is reshaping industries in the aftermath of COVID-19. We explore how AI is enabling businesses to adapt, innovate, and thrive in the face of unprecedented challenges. Equip yourself with the knowledge and strategies needed to navigate the evolving AI landscape. You’ll read commentary from specialists to learn how to enhance customer experiences, optimise supply chains, automate processes, and unlock bigger success.

✔️ How to embrace digital disruptions to your business.

✔️ Explore success stories of businesses leveraging AI

✔️ Tools and strategies to stay ahead of competition with AI

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72 %

74 %

59 %

70 %

Companies mentioned in this whitepaper

“The speed and the volume of data in cyberspace is greater than before the pandemic and AI can help with understanding, checking and predicting the data. AI has the potential to make sense of large amounts of data that exist everywhere but has never been collectively studied as a whole. This can help organisations make holistic and informed decisions that are based on facts in a timely manner.”

Peggy TsaiChief Data Officer, BigID

People do not understand its limitations and clearly do not know its strengths.

Shelly PalmerCEO, The Palmer Group

We live in an age that demands digital dexterity. More than ever, organisations need to achieve operational excellence and faster growth at pace. This must be achieved at meaningful scale and AI can be the catalyst for that change. But for an organisation to achieve its maximum potential from AI, board sponsorship, time and cash need to come for ward.”

Kieran GilmurrayCEO, Digital Robotics and Automation

“False positives and data gaps. COVID-19 creates a major break in time series data. AI systems excel at identifying correlations/co-variances. But if trained on pre-pandemic data, AI systems can generate inappropriate conclusions concerning causation from observed correlations. This will undermine their credibility. So it is crucial to curate training data.”

Barbara MatthewsFounder and CEO, BCMstrategy Inc.

The industry must work to better educate itself, business leaders and government workers that AI is not simply one technology. This will, in turn, reduce the view of it as a panacea and remove some of the hype.

Olly CoganCEO, Alphalake

By focusing on practical AI applications that generate meaningful business results. Help them find the appropriate use cases, collect data, and start using AI in practice. Offer pre-trained models that reduce barriers to entry for adoption.

Sophia SembaiProduct Marketing Manager, UiPath

There’s a lack of education in the younger generation with a huge gap in digital skills, AI and computer science. It is important that we educate them so that we ultimately achieve our potential with AI.

Nyomi RoseMarketing and Events Manager, AI Tech North

Every organisation that dabbles in AI technology should have an AI ethics board that can formulate basic ethical guidelines that would bring in a certain amount of fairness and transparency to AI.

Minu MatthewIndependent Consultant

We need to see real world stories where AI has played a positive role in helping organisations thrive – either financially or productively – through improved delivery of services to the community at large.

Andrzej BaldinVice President EMEA, Ivanti

AI has not only helped us cope with COVID-19 in various ways from medical advancements to still being able to communicate with our families, but has helped to give that push we needed to adopt and embrace the technology. We, at Edge Tech, have seen first-hand the changes that COVID has had in the AI space from a recruitment and hiring perspective.

Harrison GoodeCo-Founder, Edge Tech

The education system needs to start acknowledging the importance of coding and theoretical knowledge. The universities should look into increasing the range of AI-focused courses. Organisations will sooner or later have to consider (re)training the current workforce to stay competitive.

James HodgsonSenior Director, FINTECH Circle

There’s not so much a scarcity of relevant data as a danger of misuse of the data available, resulting in inaccurate models. In order for models to be as accurate as possible, all relevant data must be included. We must allow the model to lead us, not attempt to lead the model.

Tony O'NeilCEO and Founder, Digital Automation and Robotics

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