New technologies will push the boundaries of cloud birth, interoperability and low latency
IIt’s hard to make predictions, especially about the future, says baseball legend and philosopher Yogi Berra. To get an idea of how technology will change over the next few decades, connecting the dots on how it has evolved over the past few years might provide some clues.
What is certain is that we are in a period of unprecedented speed of interdisciplinary fertilization of fields hitherto considered disconnected. For example, genetics and neuroscience lead to the construction of information engineering and artificial neural networks in computer science.
This is largely due to digital, which is a family of diverse but interoperable and constantly evolving technologies enabling continuous availability of data, systems, applications and business processes. Such an architecture allows companies to completely reinvent different aspects of their business. Now it is something different from the past.
– We have made a leap of at least 10 years on digital and data. Businesses will continue to invest in digital technologies to find new paths for growth, efficiency, innovation, resilience, safety and security.
– Business leaders will find a balance between innovation and optimization. Digital strategies will determine where, what and how to compete. It will also include leadership approaches to managing people who will be working increasingly digitally on multiple things at the same time.
– While process maturity has driven efficiencies so far, organizations will focus on data maturity to gain 24/7 intelligent insights and find new ways to extend their capabilities and market segments. Everything will be reviewed to be applicable to over a billion people and as global platforms.
– Companies will develop all new processes incorporating smart facility technology to enable remote operations that support hybrid work models, redefining work processes that will improve sustainability, business continuity, occupant experiences and operational performance.
– We will see “the teams of the future”. Until now, we’ve all been used to staffing projects with individual roles. We need to think about building teams… agile teams with specific skills, capabilities that will deliver what is needed quickly with the necessary velocity and reliably. Companies will look for such proven teams rather than individuals.
– The left-to-right product development model will be replaced by the right-to-left model, i.e. the needs of end users and their desired “experience” in terms of feeling, buying, ‘use and maintenance will lead more and more product development and not just integrate more features into the product. In fact, removing product features (no frills) with a focus on experience and simplicity will be seen as differentiators.
– 5G is progressing and 6G is in the works. M2M communications and computing at the edge of sensors and networks will bring things to life. The way end users will operate and use applications will change significantly. In fact, I see the so-called ‘systems of records’ will get whatever they need from the data streams or the streams of the emerging ‘experience systems’, and people may not enter any data manually as we look to the future. Although we need contactless on the front end, the backend is more likely to become contactless and invisible as well.
– The local data center in the largest of institutions and the government will continue to move in favor of hyper-scalers. The journey to the cloud will keep being redesigned; new technologies will emerge to push the boundaries of cloud nativity, interoperability, and low latency.
– Scientific and human skills like art, design, ecology will all become essential and more relevant for the implementation of technology.
– Advances in micro-processing power will enable three-dimensional chips and quantum chips that will lead to better programming, designing chips with specialized circuits that will perform certain functions for an industry better leading to the appearance of computers of domain – as in telecommunication computer, banking computer etc.
– Quantum cryptography is more likely to power the world of security and privacy. Any attempt to observe a quantum system inevitably alters it, thereby protecting the secrecy, confidentiality, and unrepudiated nature of the information exchange.
– Web 3.0 will bring together services based on AI (artificial intelligence), decentralized data architectures and advanced computing. AI will make us feel understood, decentralized data architectures and edge computing, along with the rise of 5G, will push data flows to systems of record and there will be a large focus on experience systems.
– The next generation of drones and robots can avoid collisions and flight path obstacles through two-way sensing, and provide indoor and outdoor flight with autonomous sense. For example, drones and robots will automate the monitoring, inspection and maintenance of critical infrastructure such as pipelines, power lines and transportation systems, and ensure their responsible use.
– Augmented reality that blends virtual reality imagery will seamlessly integrate touch, voice and gestures. It is possible to create digital twins of anything physical and simulate its behavior.
– Agriculture and animal husbandry will get more than their share of technology. Farms will look like factories in order to increase yield and make it sustainable. We will see robot tractors, robot harvesters, drones and satellites to monitor the evolution of a crop. Much of the irrigation can be done by networks of pipes laid along the rows of crops rather than sprinkler systems. Soil monitoring will automatically control these pipes. And for pesticides and fungicides that need to fall on the foliage rather than the ground, robots guided by drones will do the job. Seeding the soil with bacteria that fix nitrogen from the atmosphere will reduce the need for fertilizer. The consequence will be higher yields and higher incomes for farmers, and help feed the planet.
– Online education and telemedicine have become mainstream. Healthcare datasets are large enough for sophisticated machine learning to augment many interventions such as reliably monitoring vital signs in intensive care units, reading diagnostic images, and performing surgeries. the most complex. Doctors and software engineers will create healthcare technology that is trusted and aligned with the way doctors think. Truly, engineers can become the new doctors!
– States will reinvent themselves as masters of new technologies, both digital and physical, as their citizens depart for jurisdictions like cryptocurrencies for the peer-to-peer exchange of other goods and services in line. This will likely spur central banks to create digital currencies that should see wider adoption over the next five years.
– Application development lifecycle methodologies will embrace “no-code and low-code” platforms and mature. It is likely that the typical coding, testing, and deployment activities that take place in this area will be greatly augmented by micro-bots and cobots.
– It is highly likely that IT service companies will become SaaS (software as a service) as enabling companies to consume technical services. This would involve the productization of IT service offerings and prepare for “crowd sourcing” type approaches. B2B sales and procurement processes would mimic those of B2C as millennials take on the burden of these functions in organizations.
The author is COO and Executive Director of Tata Consultancy Services
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(This story appears in the January 14, 2022 issue of Forbes India. To visit our archive, click here.)