The rise of AI has mixed reviews. The late Stephen Hawking declared that AI could be the “worst event in the history of our civilization” and Elon Musk has stated that "AI is a fundamental risk to the existence of human civilization." It’s the era where people interact with machines on a routine basis. With the advent of artificial intelligence (AI), technology is interwoven into many of our everyday job tasks. Reports say that more than 80 percent of businesses plan to be using chatbots by 2020.
AI, machine learning, deep learning, and automation are no longer future technologies, they’ve already found traction in the enterprise. Whether it’s to organize data, to uncover trends or to make human’s lives easier, AI can have a positive impact on the enterprise – if we let it. AI is set to impact work in three major ways: human-to-machine interaction, smart process automation, and advanced analytics. Let’s look at each of these:
- Over the past few years, technology has made huge advances in approximating human interaction, especially when it comes to speech recognition and detection of emotions, visual cues, and voice intonation. Human-to-machine interaction is becoming more and more advanced, and today the goal is to make machines interact in as human-like ways as possible. From Alexa to Siri to Google Home, these technologies are becoming more ubiquitous at a tremendous pace and will have a big impact on how we perform our jobs in the years to come.
- AI will also affect work through smart process automation, the elimination of work and the labor arbitrage associated with replacing people with bots. Today, machines are already responsible for much of the basic work done across many industries. From robotic process automation to natural language document translation to fielding customer service requests, they are becoming smarter and more capable.
Although machines powered by AI can complete some tasks, they can’t replace humans — yet. The creativity and agility of the human brain is something that machines have yet to master. Take journalism, for instance. AI-powered machines today can independently write a fairly good basic news story. But although they can do a lot of it — likely about 80 percent — some of the nuanced and stylistic elements of writing and editing are best left to humans, at least for now.
While there is no question that machines’ capabilities will continue to improve and expand, potentially resulting in the displacement of more human workers, the knowledge and aptitude of people will still be very much needed in the future.
- The third way AI impacts businesses is through advanced analytics — using data to find patterns and then using machine learning to discover insights. This gets to the heart of the question “How are AI-powered machines and chatbots changing the future of work?”
Advanced analytics and AI-based machine learning are about discovering patterns in data and using those identified patterns to generate value. It helps companies better plan business operations and better understand customers. This technology enables business leaders to gain insight into their organizations as they function, allowing them to increase revenue, reduce costs and improve overall customer satisfaction. In today’s digital age, companies must act quickly, and often in real time. That’s why advanced analytics is becoming essential for organizations that want to be truly insight-driven.
As businesses embrace AI, robots, machine learning, and deep learning, they will need a clear strategy for leveraging the technology without creating fear around the displacement of jobs or crossing ethical lines. The point here is to affirm and assert that there will be work in the future and our challenge is to make sure that that work is quality work, that is meaningful work, that is accessible work.
Artificial intelligence – a smart business move
AI can amplify human capabilities and turn exponentially growing data into insight, action, and value-creating your competitive edge. Navigate this fast-changing field and realize the promise of AI, from IoT to cloud to the data center, with a trusted global enterprise partner. Only HPE is delivering is delivering on a roadmap to create more powerful, flexible, secure, and efficient computing and data architectures, powering AI from edge to cloud to the core.
Customers win with HPE AI and Deep Learning
- Konica Minolta (KM) - Enabling precision medicine via data analytics and AI. KM partnered with HPE to use artificial intelligence to transform data analytics into action, improving financial stability and patient care.
- Saagie- Speeds big data and AI with new DataFabric. Saagie wanted to industrialize the processing of big data and AI on a platform dedicated to data science. Its new system improved one project delivery time from 18 months to two days.
- The Pittsburgh Supercomputing Center- Solving big healthcare puzzles with AI. They applied artificial intelligence to big data analytics to answer big questions about cancer genomics and autism.
Audrey Cox
Hewlett Packard Enterprise
twitter.com/hpe_partner
LinkedIn/groups/6988995/
hpe.com/us/en/solutions/OEM
