To get to the bottom of the enthusiasm for copy-generating tech, TechCrunch reached out to partners at VC firms who’d invested in startups in the nascent space within the last two years. Copy.ai, a rival building similar algorithm-based copywriting tools for businesses, closed a $10 million round in October. Copysmith last April secured $10 million in financing for its AI-powered “creative content” generation platform. Investors are bullish on the idea, in any case. But vendor-neutral analytics firm Statista reports that 87% of current AI adopters are already using, or considering using, AI for sales forecasting and improving their email marketing. It’s an admittedly biased finding - Phrasee sells AI-powered copy generation software. At least in theory.Īccording to a 2021 survey by Phrasee, 63% of marketers would consider investing in AI to generate and optimize ad copy. AI systems can target the text of ads to particular segments of customers or even individual customers, making them resonate stronger. But a greater benefit is personalization. Copywriting is time-consuming work, and AI - being machine-powered - theoretically never stops working. Perhaps it was only a matter of time, then, before entrepreneurs saw an opportunity to leverage such systems to write marketing copy. They’ve been used to generate essays, poetry, stories, news reports and more to impressive effect. It’s for a limited set of findings for now, such as accounts, contacts and opportunities, but the company plans to add options over time.Sophisticated AI systems like OpenAI’s GPT-3 can write prose that’s impressively human-like, or at least good enough to fool the average person. Instead of having a limited set of data being a handicap for enterprise search, it is taking advantage of that, and applying AI to help deliver more meaningful results. Salesforce appears to have flipped the enterprise search problem. It may not seem like much, but each reduced workflow adds up throughout a day, and the idea is to anticipate your requirements and help you get your work done more quickly. You could use conventional search to click a series of check boxes to narrow the list of results to only Boston, but this is faster and more efficient.įinally, based on what the intelligence engine knows about you, and on your search parameters, it can predict the most likely actions you want to take and provide quick action buttons in the results to help you do that, reducing the time to action. For instance, you could enter, “my open opportunities in Boston” and using natural language understanding, the tool can translate that into the exact set of results you are looking for - your open opportunities in Boston. ![]() Next, it allows you to enter natural language search phrasing to find the exact information you need, and the search tool understands and delivers the results. For starters, it might not know the popularity of a given topic like Google, but it can learn the behaviors of an individual and deliver the right answer based on a person’s profile, including geography and past activity to deliver a more meaningful answer. To solve these issues, the company decided to put the power of its Einstein artificial intelligence engine to bear on the problem. Part of that is because in many ways it is more difficult than consumer search, and there’s a lot of headwinds,” Breetz explained. “Enterprise search has gotten a bad rap, but deservedly so. Will Breetz, VP of product management at Salesforce, says that enterprise search has suffered over the years for a variety of reasons. Enterprise search has never been able to meet those lofty expectations, but today Salesforce announced Einstein Search, an AI-powered search tool for Salesforce users that is designed to point them to the exact information for which they are looking. Users wanted to find the content they needed internally in the same way they found it on the web. ![]() Enterprise search tools have always suffered from the success of Google.
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