I have summarised for you the Key Takeaways of the MBBs: The latest summit in Davos brought attention to crucial topics for businesses today, with a focus on sustainability, digital transformation, and the future of work. Let's take a look at the key takeaways shared by McKinsey & Company, Boston Consulting Group, and Bain & Company. McKinsey & Company's key takeaways from the latest summit in Davos included the need to focus on sustainability, digital transformation, and the future of work, as well as addressing global inequality and the impact of the Covid-19 pandemic. Additionally, the importance of investing in new technologies, such as artificial intelligence, machine learning, and big data, was highlighted. Finally, the summit discussed the need for long-term strategic planning and the need for businesses to be agile and adaptive in order to remain competitive in the current global landscape.

According to research by Bain & Company, technology companies are 12% more likely to be disrupted than companies in retail and 25% more likely than those in financial services, two other industries that have historically gone through disruptions. The pace with which the tech industry develops is faster than others and this will require the companies to maintain market position and value to stay in the game. Extending the capabilities and services into new domains, accelerating growth by repositioning and reevaluating core business models, scaling up the business, and enhancing customer-engagement, are some ways to win the market value and leading position. According to the Technology Report by Bain & Company, the Covid-19 pandemic spurred technology companies to reshape their businesses, and Companies are accelerating and programmatically scaling up their experiments with robotic process automation, artificial intelligence, and other advanced automation tools. The technology companies have a lot of potential to rebuild their business and hence should focus on continuous innovation and improve relations with their audience.

Editor's note: This is a guest article from our partner Bain & Company, a top global management consultancy based in Boston. The company advises business leaders on strategy, marketing, organization, operations, IT, and M&A across industries, including financial services. As more fintechs enter the market and consumer preferences shift, traditional retail banks face significant challenges in attracting and holding customers while remaining profitable. They must become more efficient, responsive, and innovative to keep up with fintechs and stay competitive with a generation of customers expecting always-on, always-available consumer-like banking experiences. Recently, my company, Bain & Company, surveyed retail banks.

Young gamers (age 13-17) are the most eager consumers of metaverse-style games, according to a recent study from Bain & Company. Metaverse games incorporate 3D virtual worlds, an avatar stand-in for the player, and focus on social connection. Currently popular games in the category are Minecraft, Fortnite, Roblox, and World of Warcraft. The metaverse-lite concept – divorced of VR headsets and full immersion – has had successful practical products within the video game sphere for decades, including early titles like Second Life and Habbo Hotel. Practical VR integration, like the metaverse, has also had viable use cases in gaming for years; today and in the future, business people like Mark Zuckerberg will attempt to extend the concepts outward to make online shopping and remote work meetings more cumbersome.

Nearly 87 per cent of enterprises in India are likely to increase annual artificial intelligence (AI) spending by more than 10 per cent in the next three years, a new report showed on Tuesday. Approximately 80 per cent of enterprises in the country have at least one AI model in production, indicating an extensive penetration of AI/machine learning (ML) across enterprises. Within providers, too, 64 per cent have AI/ML as a core element for many of their products, as against 56 per cent of their global counterparts, according to the report by Bain & Company's, in collaboration with Microsoft and the Internet and Mobile Association of India (IAMAI). "While the availability of data and cloud-based infrastructure have aided AI adoption, concerns related to data security, infrastructure, and management continue to be the most significant barriers for enterprises," said Velu Sinha, Partner, Bain & Company and co-author of the report. The report was launched by Amitabh Kant, CEO, NITI Aayog, in the presence of top executives from the companies.

Artificial Intelligence (AI) is no longer a fringe technology in India. Although penetration in application is relatively low, the AI market in the country is witnessing a broad-based awareness and adoption among both enterprises and providers, according to a latest report by Bain & Company. Though organisations in India are deploying AI tools and solutions in some form or the other over a period of time, the adoption rate has seen a spurt in recent times. "About 80 per cent of enterprises have at least one AI model in production, indicating an extensive penetration of AI/Machine Learning (ML)," the survey, conducted in association with Microsoft and Internet and Mobile Association of India (IAMAI), said. "Providers in India are either ahead of or on par with their global counterparts when in it comes to AI capability on scale implementations," it added.

In the next few years, mobile network operators might be using artificial intelligence to put the right infrastructure in the right place, according to research conducted by Bain & Company. Wireless infrastructure has an important place within the universe of mobile network infrastructure, which also includes a core switched network for voice calls and text, a packet switched network for mobile data and the public switched telephone network to connect subscribers to the wider telephony network. Wireless infrastructure includes the radio base stations, antennas and their support structures, and cables and optical fiber that connect antennas, base stations and network cores. According to IBM Cloud Education, at its simplest form, artificial intelligence combines computer science and robust datasets to enable problem solving. It also encompasses machine learning and deep learning, which are frequently mentioned in conjunction with artificial intelligence, IBM's description reads.

Like snowflakes and people, no two digital enterprises are exactly alike. Digital transformation, as with countless technology initiatives over the decades, will look different from company to company. However, there are basic patterns that characterize successful digital initiatives. A survey out of BCG shows that 70% of digital transformations fall short of their objectives, often with profound consequences. With so much at stake to build digital capabilities, why do so many companies -- no matter how technically savvy, fail?

The technology sector has always been the disruptor by introducing new and capable advancements in the field. Although, the rapid digital transformation has effectively disrupted technology companies around the globe. They have been revamping operational processes, creating value propositions for the customers, and innovating business models. Tech firms are strongly investing in cutting-edge technologies like AI and RPA to enhance productivity and minimize costs. According to research by Bain & Company, technology companies are 12% more likely to be disrupted than companies in retail and 25% more likely than those in financial services, two other industries that have historically gone through disruptions.

Day by day, electric cars are increasing their demand worldwide, this because important advances have been made in the range of autonomy at the same time that they have been decreasing in price. This trend will mean that in the future the sale of zero-emission vehicles will be higher compared to internal combustion cars. While that happens, It is expected that by 2025, 12 percent of new cars sold worldwide in 2025 will be electric. Over the years this figure will continue to increase, so it is estimated that, in 2040, half of car sales will come from all-electric models, according to an analysis by the consulting firm Bain & Company. Faced with this predisposition that will exist in the automotive market, in which electric and autonomous vehicles are poised to become an increasingly common option, vehicle manufacturers have a clear challenge. In this regard, Bain & Company expects the electric car market to start increasing rapidly around 2024, while autonomous cars will reach their tipping point in 2028.