Using data to succeed: tools for machine learning
Insights into key terms and processes involved when working with data science teams are revealed using an accessible narrative in this excerpt from Winning with Data Science
It has never been easier for businesses to leverage generative artificial intelligence (AI) to accelerate go-to-market programmes, create stickier engagements with prospects and optimise operational efficiencies.
By making full use of generative AI innovations, businesses can increase content production significantly, double their inbound SEO traffic, focus sales development representatives on more valuable prospect-facing activities (as opposed to their spending hours in sales-enablement training) and lay the groundwork to shrink the time to localise a website into multiple languages.
Despite the hype surrounding the technology since OpenAI’s much-heralded release of ChatGPT, a recent study by Gartner revealed that fewer than half of business executives are currently investing in generative AI and, of those, only 30 per cent have moved beyond the initial, exploratory phase. This needs to change. Here are some of many ways in which businesses can use generative AI to realise impactful results almost immediately:
Driving brand awareness and engagement in today’s business landscape requires significant marketing resources just to break through the noise. Using generative AI, businesses can achieve astonishing increases in marketing outputs and exponential efficiency gains. Make sure that generative AI is a non-negotiable part of your business strategy now.
Diana Eisenberg is director of EMEA marketing at data privacy and compliance company Kiteworks
Insights into key terms and processes involved when working with data science teams are revealed using an accessible narrative in this excerpt from Winning with Data Science
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