IBM partners with TCS on digital transformation
IBM will help Tata Consultancy Services’ (TCS) clients achieve a greater level of digital and cognitive enterprise transformation using its Cloud.
To facilitate this, TCS will establish a working synergy with IBM through the development of an IBM Cloud Enterprise Architecture Unit. The two companies will work closely together in order to tailor solutions which will optimally help TCS’ clients.
According to Ramen Venkatraman, Global Head of HiTech and Professional Services Industry Unit at TCS, this latest partnership fits into the company’s wider strategy of helping to facilitate digital transformation on a larger scale.
The company hopes to address complex technical challenges experienced by companies in telecoms, manufacturing, healthcare and other important sectors. This focus informs its ongoing Business 4.0 initiative.
“TCS has been partnering with leading corporations in their growth and transformation journeys, helping them accelerate their application modernisation and cloud migration initiatives with its Machine First™ approach.
“The outcome is a robust, flexible and future-ready digital core that enhances the enterprise’s resilience and adaptability.
“We are investing in our alliance with IBM to co-create accelerators and other assets to further enhance the speed to market of our customers’ modernisation initiatives and drive their transformation to become cognitive ready enterprises leveraging the new IBM public cloud ecosystem,” he said.
The aforementioned ecosystem is an initiative to help smaller software vendors upgrade and transform their digital operations using IBM Cloud. TCS hopes that its contributions will enable clients to manage, migrate and transform their workloads in a superior way.
“This collaboration with TCS can help businesses accelerate their digital transformation by developing cloud-based technologies leveraging Red Hat OpenShift,” added Bob Lord, Senior VP of Cognitive Applications, Blockchain and Ecosystems at IBM.
“TCS’ experience in IT consulting across industries combined with IBM’s cloud platform and Cloud Pak solutions can help clients speed their journeys to the cloud.”
Dr Peng Wei: Designing the Future of Autonomous Aircraft
Air traffic is expected to double by 2037. According to the International Air Transport Association (IATA), the world will need 37,000+ new passenger and freight aircraft, and more than half a million new pilots—unless we come up with another solution. Right now, a George Washington University School of Engineering and Applied Science professor, Dr Peng Wei, is starting to research autonomous electric aircraft design.
NASA will fund the research, which will study how to minimise risks for electric vertical take-off and landing (eVTOL). As Airbus states: ‘Autonomous technologies also have the potential to improve air traffic management, enhance sustainability performance and further improve aircraft safety’.
Who is Dr Wei?
An assistant professor of Mechanical and Aerospace Engineering, Dr Wei has researched aircraft control, optimisation, and AI and ML applications in aviation. Over the next three years, he’ll lead the US$2.5mn NASA grant project in collaboration with researchers from Vanderbilt, the University of Texas at Austin, and MIT’s Lincoln Lab.
Why is His Research Important?
Even though the wide adoption of self-piloting cars, much less aircraft, is still far down the road, technologies that Dr Wei and his colleagues are researching will form the commercial transport of the future. But aviation manufacturers, in order to produce autonomous aircraft, will have to meet extremely high safety standards.
‘The key challenge for self-piloting capabilities is how the system reacts to unforeseen events’, said Arne Stoschek, Wayfinder Project Executive at Acubed. ‘That’s the big jump from automated to autonomous’. In the air, AI-piloted aircraft will have to manoeuvre around adverse weather conditions, such as wind and storms, and other high-altitude risks, such as GPS hacking, cyberattacks, and aircraft degradation. And the stakes are high.
‘If a machine learning algorithm makes a mistake in Facebook, TikTok, Netflix —that doesn't matter too much because I was just recommended a video or movie I don't like’, Dr Wei said. ‘But if a machine learning algorithm mistake happens in a safety-critical application, such as aviation or in autonomous driving, people may have accidents. There may be fatal results’.
What Are His Other Projects?
In addition to the new NASA research, Dr Wei has been awarded three other grants to pursue AI-piloted aircraft:
- A 2-year grant from the Federal Aviation Administration (FAA) in conjunction with West Virginia University and Honeywell Aerospace to investigate “learning-based” aviation systems
- A six-month SBIR Phase I NASA award with Intelligent Automation to mitigate airspace congestion at vertiports—the electric craft version of airports.
- A 1-year collaborative grant with the University of Virginia and George Mason University from the Virginia Commonwealth Cyber Initiative (CCI) to develop anti-cyber attack technologies and aviation video systems
Research like NASA and Dr Wei’s three-year programme will help improve how AI reacts and adapts to challenging air conditions. In coming years, autonomous aircraft will likely take off slowly, starting with small package delivery, then upgraded drones, and finally commercialised aircraft. But congestion issues will worsen until autonomous aircraft are the best alternative.
According to BBC Future, by 2030, commuters will spend nearly 100 hours a year in Los Angeles and Moscow traffic jams, and 43 cities will be home to more than 10 million people. The final verdict? Bring on the AI-operated transit.