AI and data consultancy V2 brings in new hires targeting growth, AI strategy.
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[L-R] Ebony Williams, director of alliances, Nick Williams, partner V2 AI
AI and data consultancy V2 AI has brought on board two new faces to bolster the firm’s capabilities across AI-enabled transformation and strategic technology partnerships.
Nick Williams, previously a client partner at Slalom in financial services, joins V2 as partner, specialising in AI-enabled technology transformation and data modernisation delivery.
Coming on board as director of alliances is Ebony Williams, who has prior experience in telco cloud transformation, as well as a track record in executive sponsorship and mentoring initiatives, including participation in the AWS Women’s Mentoring Program.
V2 AI has recently picked up several new – although unspecified – enterprise accounts. These accounts have engaged the firm to accelerate data transformation and automation, said V2 AI chief executive and founder, Craig Howe.
“We’ve established strong and strategic relationships with our alliance partners,” he said, noting Ebony Williams will have the job of nurturing existing relationships and exploring new opportunities.
Nick Williams expertise in large-scale AI-enabled transformation and data modernisation will also boost V2 AI’s existing delivery capabilities, he said.
Howe is bullish about the business potential of AI, something both Nick Williams and Ebony Williams said Australian companies are only just beginning to tap.
“There’s a lot of noise in the market from AI advisors who want a piece of the pie, but don’t have the experience or credentials to take their customers to the next level,” Nick Williams said.
“I’m focused on cutting through that noise,” he added.
Ebony Williams said her initial focus at V2 AI is strengthening existing partnerships and growing the partner ecosystem. “I’m dedicated [to] upskilling our team to ensure our clients reap all the benefits of our partners’ platforms.
“It’s all about turning technology investments into tangible business outcomes.
Australian companies are moving into the second phase of their AI transformation, Ebony Williams explained, saying there’s now a real shift from prototyping to production.
Making this shift, however, means customers need more support to define their AI ambitions, prioritise their investments and build the data foundations they need to properly execute on their AI strategies.
“I think we’ll see an increase in use cases to improve business processes, optimise workflows, mitigate risks and implement robust governance,” she said.
“Business is focusing on where it can improve productivity and reduce cost [using AI].”