Conversational Applications And The Future of Work

Gerd Ehrhardt

The Fourth Industrial Revolution has long been offering consumers advantages in many areas of life – from how they shop, eat, and generally tick daily tasks off their to-do list, to where they get advice. Artificial intelligence (AI) resides in pockets, purses, living rooms, and kitchens, making voice assistants familiar and trustworthy to a rising share of the population. Companies are beginning to see similar results from increases in productivity, pay scale, and overall efficiency of essential processes.

Today’s conversational apps hint at the exponential changes we can expect in daily business operations over the next 15 or so years.

The conversational layer is now streamlined, and employees no longer need to traverse a variety of applications. This is in line with the increased automation we’ve seen in the workplace, except arguably much more revolutionary.

Conversational applications optimize human collaboration

One massive benefit to these advancements is how complementary it is to, and in some cases has sprung from, other technologies. For instance, machine learning has enabled conversational applications to use the innovation of AI to optimize human collaboration. Workflow is improved and data is more effectively and securely managed. All of this indicates that as new concepts roll out, they can be easily integrated or partnered together to continually improve workflows.

It can also make communicating data, our greatest asset, more reliable. The benefits of having a trustworthy response from a data-educated program are too attractive for business owners and managers to resist. One also can’t ignore that this may create more desirable, financially-rewarding jobs in certain areas over time.

Conversational apps can almost certainly help businesses reduce spending on areas like customer service and administrative positions. At the same time, they’ll enjoy a consistent uptick in productivity, as the AI is nearly omnipresent. This allows employees to engage with their work remotely, from any number of devices.

In addition, using blockchain, an open-source ledger, in association with the new conversational AI and machine learning may help increase the value of data to businesses over the next 15 years because of accurate record-keeping and solid data. That’s in addition to what conversational apps can do in terms of customer knowledge and transaction speed, providing a healthy boost to how quickly, for example, financial and legal matters are communicated and resolved.

Leveraging networks

It’s important to leverage innovation networks to stay up to date with conversational AI and machine learning. This can improve customer retention, as human latency is all but eliminated and voice services become more recognizable and agreeable to customers. Further optimizing or evolving conversational computing can make the digital workplace a more satisfying and productive place to be in 2030.

For more on conversational applications, see “Must Chatbots Be Voice-Enabled To Improve The Customer Experience?

Dr. Gerd Ehrhardt

About Dr. Gerd Ehrhardt

Dr. Gerd Ehrhardt has a proven record of multiyear and multilevel experience in transformation management. He has spent most of his career in an international environment within the software industry. Gerd has lived and worked in many countries on three continents, these include Germany, France, the USA, Singapore, and Jordan. He works at SAP, writes for the Forbes Magazine, the SAP News Center and contributes to the World Economic Forum Agenda. Please follow him on Twitter and LinkedIn