Based on your business vision and strategy, our Advisory Service will create a blueprint for your desired new digital operating model. By combining our business consulting and technical consulting experience, we deliver an end-to-end picture of your future digital operating model. To determine the organization's maturity, we first conduct a gap analysis using the a2b Digital Adoption Framework. Using the most up-to-date automation, AI, and machine learning technologies, we can better identify where we can improve. We'll create a plan that's future-proof based on the findings of the gap analysis.

Technology is increasingly becoming centerstage for all businesses across the world. In the last decade, we saw increased adoption of digital operating models and digital transformation of businesses featuring in board conversations. The next decade will surely belong to data and its effective use through AI and ML. AI & ML are by no means new buzzwords in the tech lexicon and we will continue to witness their increasing deployment at scale and becoming far more ubiquitous across organizations and industries. A report by PwC India indicates that the largest rise in the use of AI during COVID-19 has been observed in India.

Members get 60 days free site access, $6.95/article thereafter. Airbnb is colliding with traditional hotel companies like Marriott International and Hilton. In just over a decade, the online lodging marketplace has assembled an inventory of more than 7 million rooms -- six times as much lodging capacity as Marriott managed to accumulate over 60-plus years. In terms of U.S. consumer spending, Airbnb overtook Hilton in 2018 and is on track to move ahead of Marriott.1 Although Airbnb serves similar consumer needs, it is a completely different kind of company.

THE BIGGEST CHANGE being brought about by AI is not human replicas, but the emergence of digital operating models. These models aren't the sexy, headline-grabbing side of AI, but they are profoundly affecting how we do business and the way leaders of the twenty-first century must think. Marco Iansiti and Karim Lakhani, professors at Harvard Business School, explore these changes in Competing in the Age of AI with examples of businesses in many industries. "When a business is driven by AI, software instructions, and algorithms make up the critical path in the way the firm delivers value." And thus, how we think about the work we do and how we compete in the marketplace. The business plan describes the problem that is being solved for the customer--a reason to buy.

"The attention around AI tends to focus on the latest technologies," Iansiti argues, "but the firms that are thriving have harnessed the subtle, inherent power of AI to break down traditional operational constraints, capture new value, and accelerate growth and innovation." What sets AI-driven firms apart is their ability to avoid the inefficiencies and bottlenecks that plague growth when complexity -- primarily caused by humans -- outstrips organizational capacity. These firms strive to construct a model for operational execution that does not require human intervention (ideally, no real-time "human bottlenecks"). In the new digital operating model, most operational tasks circumvent humans entirely. The ultimate aim is to automate and digitize as many operational processes as possible to take advantage of digital reliability and scalability.