With mounting research demonstrating that gender diverse teams outperform their peers time and time again, we turned the conversation over to the exceptional women thought leaders who are at the forefront of shaping the narrative surrounding Gen AI and marketing. 

Let’s dive into their insights and experiences:

Lisa Gately, Principal Analyst at Forrester 

Gately has 20 years of experience in B2B technology content, communications, events, and services marketing. She helps Forrester clients build and optimise their B2B content engines and transform them into competitive differentiators. Lisa is an evangelist for audience-centric content strategy, content marketing, and content operations.

“During the past year, we’ve seen Gen AI capabilities appear in the martech stack along with a rise of multimodal capabilities, where AI models can understand, interpret, and generate content across multiple formats like text, images, audio, and video. It can be overwhelming to understand which systems do what tasks and to determine which ones to embrace. However, making time to learn about these capabilities is important. Gen AI brings more power to content creation, audience engagement, and personalisation. Content use cases aren’t only a practical entry point for scaling Gen AI adoption; they also represent a large part of an organisations’ activities and offer enormous potential for enhancing the customer experience and speeding time to market. Acting now is essential because the pace of change for Gen AI will only accelerate.”

Julie Shainock, Managing Director Travel, Transport & Logistics (TTL) at Microsoft

Shainock is responsible for developing Microsoft’s point of view and future strategy for our WW Travel and Transport Industry. She is focused on leading the airlines, hospitality companies, cruise and freight logistics and rail companies to driving innovation that will enhance the customer and employee journey, while driving increased productivity and cost reduction with the use of Microsoft’s technology and its ecosystem of solution partners.

“Generative AI is set to revolutionise the travel, transport, and logistics industries by delivering unprecedented levels of personalisation, efficiency, and innovation. It’s not just about automation; it’s about creating intuitive, seamless customer experiences and unlocking new levels of operational efficiency. For organisations to tackle the full potential of Gen AI effectively, establishing a clean data foundation and a clear strategic vision for desired outcomes is critical.”

Adiela Aviram, Cookieless Marketing Transformation Practice Leader at Deloitte Digital

Aviram is an award-winning digital marketer and a Senior Manager in Deloitte Digital’s Advertising, Marketing and E-Commerce offering. Beyond her career, she is a dedicated Fellow at The Black Wealth Club (BWC), actively contributing to the group’s mission of wealth generation and community reinvestment.

“The only thing constant in marketing, much like in every field, is change. Reflecting on one of my initial roles as a search marketer, I can draw some parallels. I had no formal training in search marketing, and the idea of learning an entire system to advertise on search engines seemed bizarre. Now, much of that same field is supported by generative AI. I’m excited for all the things Gen AI will enable for marketers. It will allow us to focus on more strategic, less repetitive, and energizing areas of our work. However, marketing will always need the human element. Customer experience, by its very nature, is human, and Gen AI will not stand in the way of that.” 

Joyce Gordon, Head of Generative AI, Amperity

Gordon leads Amperity’s generative AI product development and strategy. She’s also worked on the product development for many investments across the ML and ML Ops spaces, including launching Amperity’s predictive models and infrastructure used by many of the world’s top brands.

“Gen AI is only as good as the data that powers it. And since customer data is notoriously complex, it takes a different AI process to unify it into accurate, comprehensive profiles that can feed your Generative AI tools to get the best results.  

Customer data tools can use AI to power critical processes behind the scenes, including data unification, insights, and predictions, so you have the answers to the questions “Who are my customers? What did they do? And what should I do next?” 

In a world where the same Generative AI tools for activation are available to everyone, the data you feed into your Gen AI systems will be a key competitive differentiator, since it determines the quality of the output. In short, it’s not enough to have AI tools at the last mile — it needs to be part of your approach from the first step.”

Teresa Sperti, Founder & Director, Arktic Fox

Sperti is a highly seasoned and regarded digital and eCommerce leader with over 20 years’ experience working with and for leading brands including Coles, Officeworks and World Vision among others. Since establishing Arktic Fox four years ago, Teresa and her team have been partnering with leading brands and scale up retailers and CPG | FMCG brands to drive eCommerce adoption and capability build, to enable better utilisation of data to enhance experience and deliver better omnichannel experiences and supported brands to utilise and invest in tech to underpin their strategy.

“There are pivotal moments in the digital era that fundamentally alter the trajectory of the industry – the birth of social media and the launch of the iPhone were some of those moments. And I believe the launch of ChatGPT is another one that really lit a match to the adoption of Gen AI.

“In the tech world, we are already seeing strong adoption of Gen AI within marketing platform interfaces to automate creative development and support and enable smarter decision making. However, it is still very much the early days for Gen AI , and I think we’re just scratching the surface. Brace yourself for a whirlwind of change in this space over the next 12 to 24 months.”

The future of Gen AI in marketing

The female leaders in marketing have spoken, and their insights demonstrate the importance of embracing Gen AI not only as a tool for innovation but as a fundamental pillar for cultivating growth and establishing meaningful relationships within the rapidly transforming marketing landscape. Let’s make 2024 the year we harness Gen AI to its fullest potential and unleash lasting, genuine change for the better.

(Editor’s note: This article is in association with Amperity)

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The report underscores the need for a composite AI approach. This involves combining various AI types – such as generative, predictive, and causal – along with diverse data sources like observability, security, and business events. This holistic strategy aims to provide precision, context, and meaning to AI outputs, ensuring reliable results.

Key findings:

• 83% of tech leaders emphasise the mandatory role of AI in navigating the dynamic nature of cloud environments.
• 82% anticipate AI’s critical role in security threat detection, investigation, and response.
• 88% foresee AI extending access to data analytics for non-technical employees through natural language queries.
• 88% believe AI will enhance cloud cost efficiencies through support for Financial Operations (FinOps) practices.

“AI has become central to how organisations drive efficiency, improve productivity, and accelerate innovation,” said Bernd Greifeneder, Chief Technology Officer at Dynatrace.

“The release of ChatGPT late last year triggered a significant generative AI hype cycle. Business, development, operations, and security leaders have set high expectations for generative AIs to help them deliver new services with less effort and at record speeds.”

While organisations express optimism about AI’s transformative potential, concerns linger:

• 93% of tech leaders worry about potential non-approved uses of AI as employees become more accustomed to tools like ChatGPT.
• 95% express concerns about using generative AI for code generation, fearing leakage and improper use of intellectual property.
• 98% are apprehensive about unintentional bias, errors, and misinformation in generative AI.

“Especially for use cases that involve automation and depend on data context, taking a composite approach to AI is critical. For instance, automating software services, resolving security vulnerabilities, predicting maintenance needs, and analysing business data all need a composite AI approach,” added Greifeneder.

“This approach should deliver the precision of causal AI, which determines the underlying causes and effects of systems’ behaviours, and predictive AI, which forecasts future events based on historical data.”

As organisations forge ahead with AI adoption, balancing enthusiasm with a mindful approach to challenges becomes paramount. The survey underscores the transformative potential of AI, but its effective integration requires careful consideration and a diversified AI strategy.

“Predictive AI and causal AI not only provide essential context for responses produced by generative AI but can also prompt generative AI to ensure precise, non-probabilistic answers are embedded into its response,” says Greifeneder.

“If organisations get their strategy right, combining these different types of AI with high-quality observability, security, and business events data can significantly boost the productivity of their development, operations, and security teams and deliver lasting business value.”

A full copy of the report can be found here (registration required)

(Photo by Matt Sclarandis on Unsplash)

See also: AI & Big Data Expo: Demystifying AI and seeing past the hype

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