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Looking for the perfect AI tools to use to manage and grow your business? So, this article is the right one for you. We brought you the list of the best and trending AI tools you can use for various activities in your business. It doesn’t matter if you’re a solopreneur or a start-up, these tools can help you improve your productivity and handle complex tasks easily. We try to cover the best tools in this post. All of which help you with the most important functions such as managing your marketing, sales, and day-to-day business operations.

OpenAI today announced it’ll step in and defend businesses using OpenAI products if they face claims around copyright infringement as it pertains to OpenAI apps and services. As part of a new program, Copyright Shield, OpenAI says that it’ll pay the legal costs incurred by customers — specifically customers using the “generally available” features of OpenAI’s developer platform and ChatGPT Enterprise, the business tier of its AI-powered ChatGPT chatbot — who face lawsuits over IP claims against work generated by an OpenAI tool.

Unless you’re an expert email marketer, coming up with brilliant subject lines every time can be tough. This is especially true if you’re sending personalized emails multiple times per week. Plus, you may need to write several subject lines and run split tests to find the best. This is time-consuming! This post will explore how AI works with email subject lines and why you should get inspiration from AI when writing email subject lines. You’ll also learn about some of the best AI email subject line generators.

At first glance, tracking engagement data may sound like another vanity metric—until it shows an uptick in meaningful sales conversations. Sales and marketing alignment was never a problem for Acrolinx, as evidenced by Christopher P. Willis’ title: Chief Marketing & Pipeline Officer. In this episode, Chris talks about the value of tracking engagement data and its usefulness for sales and introduces his Global Active Awareness Score (GAAS), a comprehensive methodology to measure awareness and attribution by tracking every touchpoint and interaction with the audience.

AI has been shown to have risks in content, especially for companies with an ample supply of content sources and insufficient management of the editorial process. But what if businesses could leverage AI to improve content governance? Acrolinx helps companies govern their content sources efficiently with its AI editorial management software. It allows users to train language models with their best content and create brand-specific guidelines for every content form, from technical documentation to marketing blogs. We spoke with Christopher Willis, Chief Marketing Officer of Acrolinx, about how Acrolinx enables companies to maintain their content strategies, create brand-aligned content, and optimize the editorial process for cost and time savings.

With all of the conversations around generative AI this year, there are still so many unanswered questions. Kyle Wiggers examined one of these questions in this TechCrunch article. Intellectual property concerns ranked as the top concern that enterprises have around implementing generative AI. In fact, in a recent survey from Acrolinx, respondents ranked it as the top concern among companies with integrating generative AI. Read about the challenges and concerns around potential copyright infringement with generative AI models, and the possible legal ramifications that can stem from AI-generated content.

In fact, a recent Acrolinx survey of Fortune 500 companies found IP concerns to be prominent for enterprise leaders considering generative AI technology. Asked what their primary concern about the use of generative AI is, 25 of the 86 respondents selected intellectual property as their biggest concern. This was followed closely by customer security compliance concerns, which received 23 votes. Comparatively, the other three answers (bias and inaccuracy, privacy risk, and public data availability and quality) received between nine to 16 votes each. Interestingly, the concern that was ranked the lowest, at 43 votes, is privacy risk.

Generative AI is transforming marketing and customer engagement, from content creation to data analysis to personalized interactions. These large language models produce human-like content at scale, optimize campaigns, and enhance customer self-service. With major brands rapidly adopting generative AI, its capabilities have quickly become thought of as a competitive necessity. This article will examine the ways that brands are using generative AI today, and will seek to answer the question: is it vital to embrace generative AI?