“How many days until the next team meeting?”, "Can you set the timer for 15 mins?”, "Can you order a pizza from my favourite café?"

Today's IT desks are exposed to colossal volumes of data generated from non-identical sources. More often than not, the support experts are found firefighting critical tasks, that they find little or no time to analyze historical data for devising solutions. Rather than staring into a crystal ball, predictive analytics that is backed with data science adopts Artificial Intelligence (AI), and Machine Learning (ML) to develop predictive models through data analytics as well as statistical modeling to analyze users' current and historical data to identify patterns and project future outcomes.

In today’s demanding world, IT plays a pivotal role in delivering competitive advantages to companies. Fuelled by the organizations’ race to digital transformation and the growing number of millennial employees, IT desks feel the heat to provide quicker, better, reliable, and convenient support. With technology fast-becoming an ally for the digital natives, service desks that adopt a traditional model may prove too little. Some of the challenges being long and delayed queues, siloed knowledge distribution, single communication channel, agent boredom, to name a few.

Higher user expectations. Increased responsibility. Staying abreast of the latest technology but within the budget. Limited resources to offer cost-effective solutions. Wrestle with loads of daily requests.

Yes, you heard it right! These are a few challenges faced by IT Service Desks.

Keeping your IT Desk running smoothly can be an endless challenge. And the only solution is - Automation.

Artificial Intelligence (AI) and Machine Learning (ML) is no more a fairy-tale, we see them everywhere around us. Right from helping us to know the delivery time of our ordered food, suggesting friends on social media, recommending products on e-commerce sites, to our very own personal assistants like Siri, Cortana, etc., AI has managed to influence our daily lives immensely.

If we were to decide on one crucial part of a successful business journey, it would be customer engagement. A customer-centric company’s focus should be supporting the customers throughout the business lifecycle. But as the number of customers grows in volume, organizations struggle to provide instant support even to customers’ generic requests. In this age, when almost all the tasks are automated, when interactive communications have become rare, a question arises whether it is possible to build a long-lasting customer relationship.

NLP is a type of Artificial Intelligence that provides machines the capability to read, understand and interpret the meaning from human languages. For instance, Amazon’s Alexa understands what we say and knows how to respond. Interestingly, Gartner predicts that 30% of our interactions with technology would be through “conversations” with smart machines.

By implementing NLP, your business can organize their large amounts of unstructured data, like emails, social media conversations, online chat conversations, etc. to gain insights and take valuable business decisions.

Do you know 62% of workforce believe that AI will carry a favorable impact on their jobs? And 67% say it is necessary to develop the skills for working in coordination with intelligent machines.

We are fighting battles everyday, trying to develop the business, beat the competition and sometimes even trying to survive. If your technology is not supporting your business and your customer needs, then you are on the backfoot.

Sensiple along with Microsoft empowers your organization and accelerates Agent & Customers experience as the Modern/Digital workspace continue to evolve. We continue to accelerate employees work environment to create an agile, high performing & Empowered workforce.

A Leading Global life science company is a Dutch based Life Science company, producing nutritional products and performance materials for their core customer sectors like animal nutrition companies, infant food makers, and the personal care industry.