Science fiction versus (virtual) reality; prioritize your tech stack

From yesterday’s breakthrough AI innovations to tomorrow’s metaverse, technology is advancing at a pace never seen before

With new developments vying for priority in today’s modern technology stack, the challenge for leaders is to identify which advances are relevant today and which are still in the realm of fiction for the foreseeable future. .

First on the agenda; solid foundations for complex clouds

Whether companies call it digitization or transformation, the vast majority of organizations are migrating everything to the cloud at a rapid pace. Multi-million dollar initiatives manifest in a myriad of cloud configurations, from multi to hybrid, addressing many challenges. However, having heavily invested a large number of resources in the transition to the cloud, fewer organizations are prioritizing subsequent phases that accelerate the return to the cloud.

These later phases form the foundation of cloud ROI, improving operations, forecasting, and predictions using ML and data science to drive revenue. Hyperscalers create products that fuel all sorts of business cases, but the benefits cannot be realized without a strong foundational cloud. Mastering today’s complex cloud initiatives should be a top priority for any forward-looking organization.

Don’t Hesitate About Ethical AI

With the growing list of consumer-facing AI applications, there have been growing calls for transparency and growing pressure on companies to consider responsible AI before developing or deploying new ones. new initiatives.

This is especially true in the wake of Covid-19, which heralded a quantum leap in the deployment of AI. After covid-19, a large part of operational activities will be performed by AI, allowing teams to focus on higher value tasks.

However, with greater scrutiny of technology practices and calls for transparency, companies need to manage the deployment of smart AI while ensuring privacy, avoiding bias in algorithmic decision-making, and adhering to the guidelines of highly regulated industries. The main ethical challenges of AI fall into four broad categories; digital amplification, discrimination, security and control and inequality.

Companies are still in the early days of controlling AI algorithms. The first step is to set parameters – what does the company want to track from an ethical and unbiased perspective? Once these parameters are set, the algorithms and results must be constantly checked and adjusted to avoid the biases seen in some AI applications.

As the AI ​​hype per se begins to wane, problematic AI is a hot topic. Ethical AI is therefore not a matter for tomorrow but a serious consideration for today.

The five-year plan; intelligent automation

Technologies such as Robotic Process Automation (RPA) have made inroads over the past 5-10 years. However, RPA capabilities have been limited to mundane automation tasks. For example, looking at the HR challenges of recruiting or the supply chain process of demand forecasting and planning, a small fraction of these critical processes can be automated using technologies like RPA – perhaps be only 10%.

The other 90% cannot be automated by leveraging legacy functionality. However, the rise of intelligent automation, combining technologies such as AI and RPA, is increasing the work automation can do to relieve humans of process-driven tasks.

This does not mean that the human element becomes inadequate; human decision-making skills are always essential in these processes. But, as part of long-term strategies, organizations would do well to start taking steps to embed intelligent automation across all business units, laying the groundwork for the next generation of automation that is undoubtedly upon us. the horizon.

The potential of NLP

Natural language processing (NLP) is the fastest growing area of ​​AI and automation, rapidly expanding alongside other burgeoning technologies to create new paradigms. For example, NLP combined with conversational AI will enable very different interactions with customers and employees.

NLP can help drive sales and increase revenue, whether through the use of chatbots, translation tools, or grammar-checking technology. NLP is already being used to help customers shop with humanoid avatars, providing an enhanced user experience while mitigating the effects of the current labor shortage. However, we have yet to see its full potential. In the future, NLP will become part of everyday life, allowing us to communicate with machines and programs the same way we do with other humans. And, combined with developments in biometrics, these machines like humanoid robots will eventually gain the ability to read body language and facial expressions.

An “almost” virtual reality

The Metaverse is the latest advancement to enter the hype cycle. Currently, the idea is trendy and not a priority for many organizations. However, over the next five to ten years there will be dramatic investment in the digital world – particularly in the consumer sector – and things that we would not even have imagined two years ago are already a reality today.

The true potential of the Metaverse will come to life when the younger generation, who have grown up as digital natives, become consumers. With the help of conversational AI, this generation of consumers will be able to meaningfully interact with humanoid avatars, chatbots and digital agents. As it stands, the metaverse is still a long way off for us. However, this will be the reality for the next generation of consumers.

Making this virtual reality world possible is a leap, but realistic in the long run.


About the Author

David Semach is Head of AI and Automation EMEA at Infosys Consulting. Infosys Consulting is a global management consulting firm that helps some of the world’s most recognized brands transform and innovate. Our consultants are industry experts who lead complex change programs driven by disruptive technology. With offices in 20 countries and backed by the power of the global Infosys brand, our teams help the C-suite navigate today’s digital landscape to gain market share and create shareholder value for competitive advantage. sustainable.

Featured image: ©Photocreo-Bednarek


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