The AI Revolution Is Now
Communications strategies for
AI-driven tech companies
With the introduction of ChatGPT and Dall-E, the advent of AI and its implications have hit home for all of us.
We can actually experience the technology ourselves creating narrative text that could have been written by a human, and unique imagery that’s creative and original. While AI has intrinsic flaws yet to be fully resolved, it has and continues to transform long established protocols.
Thousands of businesses are using AI to streamline how work gets done.
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Media relations opportunities for AI-related companies
Bottom line, AI transformation is a story worth telling, by focusing on specifics, digging deep to understand and convey how your operations were transformed. Is there data available to illustrate any savings in time or money, or increased productivity? Focusing on specific outcomes always helps tell the story. Here’s a proven playbook of media coverage strategies for every tech company.
An acquisition, fundraise, investment, data report will get coverage more easily, and will help validate your company’s standing in the marketplace, spurring the confidence of potential investors, partners, customers and ultimately users. It also serves as a reliable door opener to business reporters who appreciate and react to news and data.
Launching a product/service
Reporting a milestone
Announcing a new hire
Rally Point PR is experienced with media relations for AI and software companies
Rally Point PR is working with disruptive client companies deeply involved in sectors where AI is revolutionizing operations: retail, customer care, real estate, insurance, transportation, logistics, robotics.
We are experienced in a wide range of AI-driven technologies including
- Machine learning
- Cloud computing
- Natural language processing
- Virtual reality
Our tech team knows how to convey those benefits and more using our persuasion equasion.
- Strategic planning
- Narrative development
- Media training
- Media outreach
- Content creation
- Data development
- Conference and event planning
- Special activations and stunts
- Social amplification
AI CASE STUDIES
Netail, developed by AI legend Andrew Ng, is using AI to provide deep, customized competitive insights to its retail clients for the first time ever.
Netail uses AI to auto-identify competitors across the internet and track their assortments, availability and optimize prices in real time. With the majority of purchase decisions now made online via search, marketplaces and social media, retailers are struggling to adapt. Co-founded by Mark Chrystal, who joined Andrew Ng at Landing AI about a year and a half ago to develop cutting-edge AI-based solutions to bring into the retail space, according to Venturebeat, the team ideated solutions that were then tested and validated with retailers. Netail’s AI technology is designed to help them succeed by attracting, converting and retaining customers in these increasingly competitive digital arenas. Real-time data and decision-making are essential for retailers to better understand how products are positioned.
Global Fair uses machine learning to transform cross border trade in the construction business.
In an historically unstructured construction industry, with almost no technology, GlobalFair is disrupting this fragmented supply chain by leveraging machine learning and predictive technology to build a borderless trade economy. According to TechCrunch, “GlobalFair also offers a tool to automate construction material cost estimates from architectural plans and site shop drawings. Beyond this, the company hosts a material visualization app to help architects and designers anticipate how things might look once installed, as well as automated enterprise resource planning.”
Awning uses machine learning to help individual investors find the best single family rental properties.
Awning uses machine learning to help individual investors find the best single family rental properties in select markets with estimations of their financial returns. Awning’s founders developed an algorithm to virtually guarantee a solid ROI for new investors. They hired Rally Point to launch the company. According to TechCrunch, the platform does this by ingesting all the listings in the various markets, and automatically analyzes each one for returns and risks after an advisor learns about a potential investor’s financial goals. By focusing on a surging rental market and Awning’s unique approach, our work raised awareness of their solution among its target millennial customers.
Read here for more information about our work with Awning.
Locomation, a technology company, uses AI in its development of autonomous trucks.
Locomation developed a unique and disruptive autonomous driving technology that links two trucks together using proprietary AI. The founders turned to Rally Point to help define its premise and build a messaging framework designed to communicate its unique positioning as the only human-guided, two-truck solution. According to Forbes, autonomous trucks will change the face of logistics, and by putting out a consistent flow of announcements and arranging briefings with journalists and analysts covering autonomous vehicles, trucking, supply chain, and sustainability, Locomotion is prepared to go big when the tech is ready
Koffie Financial uses AI to analyze insurance data sets for trucking fleets.
Koffie Financial uses alternative data to provide trucking and transportation companies with fast, affordable insurance coverage. Rally Point has focused on communicating the value of Koffie’s disruptive approach to trucking companies by sharing the story of its funding then focusing on the two founders, Ian White and Mike Dorfman, one from a trucking family, and the other, a data specialist. According to a story in Business Insider, when Dorfman met White, they saw an opportunity to make a dent in the problem. The Rally Point PR team works closely with Koffie on content generation and conference booking, prioritizing reaching the trucking industry as well as venture and insurance.
Viable, a customer feedback company, uses AI to analyze huge amounts of customer comments on multiple platforms in nanoseconds and summarizes it in natural language.
Viable pioneered the use of Natural Language Processing to analyze customer feedback. Using its own technology powered by OpenAI’s GPT-3, Viable analyzes huge quantities of data and delivers customer feedback reports that are highly accurate. According to Venturebeat, the most important feedback is not quantitative, but qualitative and Viable’s analytics software makes customer feedback actionable with automated aggregation, structuring, and analysis of text, enabling companies to get plain language answers from their customer surveys, help desk tickets, app store reviews, and more.