Once the stuff of science fiction books and movies, artificial intelligence (AI) is getting real and it’s already in action, changing how we work and helping organizations to innovate their operations.
More companies understand the reality that AI is here to stay and is growing rapidly. Gartner estimated that the Internet of Things (IoT) and the devices related to that, including connected machines, voice assistants, wearables and similar devices are fueling the growth of AI, including what is thought to be six billion “things” and a $5 billion market by 2020.
While some worry that people will be replaced by robots as part of this AI movement, more companies are focused on the type of innovations they can achieve with this incredible technology. Instead, the AI capabilities provide a way to deliver even more data than ever thought possible with the machine doing significantly more compiling and computations than a human could ever achieve in a short time, delivering the insights necessary to actually innovate.
Here are some ways that AI is changing how organizations can achieve new breakthroughs in their industries:
Zephyr, a software-testing platform, has been testing how AI can help their developers innovate in their respective areas to evolve the development model for technology solutions that aligns with the data science capability machine learning delivers.
The significant amount of information that is delivered by AI through data science tools provides a way to put data at the forefront of the development model so developers create their solutions based on that rather than seeing how what they create might work with any data they review later on.
Instead, by putting data at the heart of what they do, Zephyr and other companies that rely on developers will be able to more closely match the expectations and needs of their target audiences because it was made based on what the data directed them to do. This is completely changing how a developer works and puts them in a different mindset that would have otherwise been reserved for a marketer.
In focusing on the tremendous data power that AI can deliver, it makes sense that it could innovate how companies implement their sales processes. For example, LeadGenius is developing a machine learning system for B2B sales.
It uses data crawlers to go through websites as well as business directories and credit agencies to compile and organize that data in a way that gets better with each search. From there, the data gathered enables LeadGenius to automate email outreach for sales teams.
The AI component provides a way for those email outreaches to be instantly customized based on what the machine learning aspect of the system learns in relation to response to those outreaches to enhance the sales process.
Customer engagement and influencer marketing
Influential for example realizes they can use what they refer to as augmented – not artificial – intelligence to leverage a data-first approach to meet client goals and engage with audiences worldwide. They are the only developer partner in the IBM Watson ecosystem for Influencer Marketing. Influential matches brands and agencies with influencers through machine learning and transparent data focused on demographics, psychographics, and contextual relevance.
As a truly innovative idea, the company has been able to help its clients create conversations with influencers and further engage target audience members by using the data compiled by its augmented intelligence platform. That approach delivers unique, in-demo impressions on Twitter and Instagram, enhancing the results from various media buys on these social platforms for its clients. It’s something no other company in that space has been able to accomplish due to the fact Influential is using AI when others aren’t.
While it may seem like an insignificant area, it is also one where it is hard to imagine that anything innovative could arise from what has become a commonplace industry.
However, companies like the Grid are changing that by putting AI into the design process. The company’s solution has a machine learning component that gathers information about websites so that they can optimize their design and ensure it works for their target user.
It’s AI core studies how users have responded to similar websites and puts that to work to suggest how to design the navigation portion of the website down to the best places to a put different buttons based on what it has gathered about user behavior.
Apparently, AI can even save the world, which would be one of the most innovative capabilities ever for this technology. However, scientists think that AI can take on a huge role in understanding what humans are doing to the environment and how the damage can be halted and even reversed.
As one article noted AI has been generating “huge amounts of information from monitoring Earth’s various systems — underground aquifers, the warming climate or animal migration, for example. A slew of projects have been popping up in this relatively new field, called computational sustainability, that combine data gathered about the environment with a computer’s ability to discover trends and make predictions about the future of our planet.”
Just the start
These are just some areas where AI is revolutionizing businesses, organizations, work processes and approaches to key social issues. It’s an exciting time to be alive, watching what technology can do in combination with human creativity to truly innovate.
This post is part of our contributor series. It is written and published independently of TNW.