Successful companies understand they have to innovate to remain relevant in their industry. Few innovations are more buzzworthy than machine learning (ML).
The Accenture Institute for High Performance found that at least 40 percent of the companies surveyed were already employing ML to increase sales and marketing performance. Organizations are using ML to raise ecommerce conversion rates, improve patient diagnoses, boost data security, execute financial trades, detect fraud, increase manufacturing efficiency and more.
When asked which IT technology trends will define 2018, Alex Ough, CTO Architect at Sungard AS, noted that ML “will continue to be an area of focus for enterprises, and will start to dramatically change business processes in almost all industries.”
Of course, it’s important to remember that implementing ML in your business isn’t as simple as sticking an educator in front of a classroom of computers – particularly when companies are discovering they lack the skills to actually build machine learning systems that work at scale.
Machine learning, like many aspects of digital transformation, requires a shift in people, processes and technology to succeed. While that kind of change can be tough to stomach at some organizations, the alternative is getting left behind.
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