A McKinsey study found that while 77 percent of customer service leaders say their companies have developed digital platforms, only 20 percent of their digital contacts are done unassisted—even as contact center volume continues to grow. That’s a clear indication of the tremendous opportunity to leverage evolving technologies to drive higher return on investment (ROI) at the contact center, especially at a time of agent staff shortages.
Artificial Intelligence (AI) has moved from being a buzzword to a transformational technology. In the Oracle landscape, the integration of AI within the Human Capital Management (HCM) suite is changing how HR teams recruit, develop, and retain talent. Rather than viewing AI as a black box, it’s importantto understand that Oracle’s HCM portfolio incorporates both adaptive intelligence and generative AIcapabilities– each designed to assist HR professionals in different ways.
The phrase “predictive analytics” holds a lot of promises—about solving problems before they occur, better service outcomes, targeting scarce resources, supporting decisions and improving responses in time critical situations.
With so much opportunity available, how can government start to consider the risks and benefits associated with this technology?
Project Deep Blue is a Mastek initiative that encourages engineering graduates to create innovative technology solutions for non-profits to address challenges faced by them in solving real-life social problems. Currently, in its fifth season, this unique programme acts as a bridge between the industry and academia and has amassed tremendous popularity in the engineering community for offering students the opportunity to design, develop and build solutions in a project-like environment. Over a period of three months, students are guided by their assigned mentors to successfully develop solutions to address various social problems in the field of education, healthcare, and citizen services – facilitated and identified by Mastek Foundation.
In FMCG, F = Fast. Retailers need to adapt to rapid changes in consumer attitudes and the marketplace. Every aspect of retail operations has the potential to make or break the customer experience. AI technologies are breaking down barriers and making it imperative for retailers to adopt a globally competitive retail business model. The power of machine learning has made it possible for businesses to continuously scrutinize customer behaviour data and generate alerts when the time is right for the next best action.
What are some of the AI related challenges and transformational possibilities we are faced with as a company delivering digital transformation for enterprises? This is the question I attempted to answer in my innovation keynote speech at AI Tech North, the first large scale AI conference in the North of England. It was truly exciting to share insights, my perspective and observations with AI enthusiasts, academics, graduates and leaders gathered in large numbers to discuss innovative technologies and data trends.
After 5 years of the first enterprise level implementation of RPA, the recent traction that is being noticed in the corporate world is an indicator of the IT landscape warming up to the concept, and gaining insight into the dynamics of tactical application of robotics.
With the take-up of automation increasing rapidly across industries, AI-driven bots are at the centre of business process improvement, helping to enhance the user’s experience -- and customer engagement more generally -- with more intuitive, easy-to-use interfaces.
According to MIT Sloan Management Review, we are embarking on a journey where the rules-driven bots will be replaced by Artificial Intelligence or AI-driven bots that have the capability to self-learn and continuously improve their knowledge, just like humans. The technologies that are powering such AI bots are Natural Language Processing (NLP) and Machine Learning (ML). AI bots are well on the way to becoming intelligent personal assistants for consumers across many industries.