Vattenfall is one of Europe's largest producers and retailers of electricity and heat. Our main markets are Sweden, Germany, the Netherlands, Denmark, and the UK. The Vattenfall Group has approximately 20,000 employees. We have been electrifying industries, powering homes and transforming life through innovation for more than 100 years. We now want to make fossil free living possible within one generation and we are driving the transition to a sustainable energy system.

Sanjay is a Technologist and founder of Vervotech, a SaaS-based accommodation data provider. In 1956, a young mathematics professor at Dartmouth College organized a group of computer and cognitive scientists to develop ideas about thinking machines and called the subject "artificial intelligence" (AI). Today, according to Fortune Business Insights, the AI industry is currently valued at $387.45 billion and is expected to reach $1,394.30 billion by 2029. The internet revolution over the last few decades was the primary catalyst for this growth, as technologists and users explored new horizons--search, social networking, e-commerce--and these applications left behind a tsunami of data debris. To manage that debris, we need AI.

In a dwindling labour market, it's harder than ever to retain employees as millions quit their jobs over the past year The Great Resignation, reshuffle or reset – call it whatever you will, we can't erase the fact that it's taking a toll on businesses. Some, say employers failed by often treating workers as dispensable, and therefore couldn't tempt them back once lockdowns lifted. Other employees are tired, even burnt out. The stresses of the pandemic mounted heavily on the way we work and shone a light on the importance of a healthy work-life balance. In our latest research, 91% of UK employees admit they waste up to 8 hours a week searching documents for information to do their jobs.

Artificial Intelligence (AI) seems to be an omnipotent phenomenon that influences a wide range of industries. The global AI market is predicted to snowball in the next few years, reaching a $190.61 billion market value in 2025. That's possible because AI covers everything from medicine and physics to business and social networking. Digital marketing is by no means an exception. On the contrary, it derives much of its current power from AI.

Algorithms help guide decisions in many areas, such as medical diagnostics, predictive justice, facial recognition, fraud detection, job search, and access to higher education (ACPR, 2018). The world of finance, too,hasn't been left untouchedby the data science revolution sparked by artificial intelligence (AI). AI has come under public scrutiny, as part of a new mythology of the digital evoking simultaneously hope and fear.For instance, AI is credited with the prospect of a revival of consumption, of cross-sector growth in productivity, and of improved risk management, to name a few. At the same time, it is connected to fears of technological job substitution, to the prospect ofskills retraining, to a widening digital divide and, more broadly, to a drift towards transhumanism, i.e. the transformation of humanity through technologically enhanced capacities (Bostrom, 2017). Historical hindsight shows that AI is not the first technological "disruption"to have affectedthe banking industry: here it suffices to consider the rise ofautomatic teller machines and online banking.In 1990's, Bill Gates said "banking is necessary, banks are not".1

Imagine your sales agent pitching a credit card to a student with no income to pay back! According to a survey, 85% of sales agents have committed mistakes due to incorrect user data. You can integrate one of the finest Customer Relationship Management(CRM) software; sales goals will look like Everest. Fortunately, there is a solution- "chatbot." They can help aggregate valuable user data, enhance the entire customer support system, and offer more extraordinary customer journeys.

Two words that seem to be at odds with each other, especially if you look at them within the context of phone channels in customer relations! It's somewhat counterintuitive, particularly when you factor in the roles they play in brand's strategies regarding customer relations optimization. To begin with, let's define what these two terms mean in the field of customer relations: What's the new, shared ambition bringing these two extremes together? Indeed, properly automated, tailor-made customer journeys via phone channels will no longer be viewed, wrongly, as a necessary evil by some customers, nor considered a costly proposition by most brands. They will be perceived as an integral element praised both for its efficiency and its personal touch.

Self-learning and Automation of workflow are not new terms in the professional world. In fact, they are the two most basic advice given to humans by their fellow mates. Learning from our past experiences and the experiences of others and getting the work done in a way that reduces the effort while not compromising with the efficiency have been the key contributors of all major breakthroughs in any field. Nowadays self-learning and automation are not limited to humans only. Computers these days are being made capable to learn from the enormous amount of user data available these days.

We all have experienced calling customer support and press hundreds of numbers. You might have lost your patience and be stuck in a situation where you can neither hang up nor wait because you've waited for so long and a couple of minutes more wouldn't kill you. You will be put on hold for several minutes before someone resumes your call and you hear those words you've been wanting to hear from a long time, -- 'Hello, how may I help you today?' The whole process seems annoying and a little time-consuming. But have you ever thought about how difficult it is to be in their shoes?

In a world where technology is changing rapidly, it can be hard for businesses to keep up with shifting consumer demands. Take how customers interact with businesses, for instance. According to a recent study by Drift, people now prefer real-time interaction as they make their purchases, meaning that just having an online storefront is no longer enough. For startups looking to grow a loyal customer base, the immediate needs of users can be especially intimidating and even seem, at times, insurmountable. Entrepreneurs with small employee bases would have no way of being there for every customer and anticipating each person's needs in real time.