Moving fast with care advised for AI adoption at VentureBeat Transform Day 1

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VentureBeat Transform Day 1: AI Adoption Requires Care and Speed

VentureBeat Transform, held in San Francisco on July 11-12, brought together top executives to discuss the rapid advancements and concerns surrounding generative artificial intelligence (AI). The event emphasized the need for a diverse range of AI models and highlighted the potential for businesses to leverage AI to enhance efficiency and customer experience.

ChatGPT, among other generative AI models, has paved the way for widespread adoption of this technology across various domains. At the Women in AI breakfast panel, Mastercard’s chief data officer, JoAnn Stonier, compared the pace of AI development to the Oscar-winning movie Everything Everywhere All at Once, emphasizing the need to ensure equal opportunities for all to benefit from this technology.

In a fireside chat, Uljan Sharka, CEO of iGenius, stressed the importance of a human-centric approach to developing generative AI products. Sharka highlighted the need to prioritize human needs over technological advancements, as previous technology advancements have not achieved the desired level of adoption due to a significant focus on technology rather than human requirements.

Ashok Srivastava, Chief Data Officer at Intuit, emphasized the significance of high-quality training data for generative AI models. He outlined two key aspects of a strong data foundation: having clean data at scale and having real-time data at scale. Intuit, a long-time user of machine learning, employs generative AI through its operating system, GenOS, to deliver personalized experiences to customers. Despite the role of large language models in GenOS, Srivastava noted that traditional machine learning models such as classifiers and recommendation systems remain crucial.

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Speakers Mark Tack, CMO at TreasureData, and Gail Muldoon, data scientist at Stellantis, shared insights on leveraging generative AI to enhance personalization and customer insights. Tack highlighted the importance of having clear objectives, strategies, and metrics before incorporating AI into business operations, cautioning against falling into the shiny object syndrome trap.

Stellantis, the world’s third-largest automobile company, is utilizing generative AI to transition to a full online shopping experience. Muldoon discussed how Treasure Data’s Customer Data Cloud platform enabled Stellantis to anticipate customer shopping interests and preferences.

Enterprises are still exploring the best ways to leverage generative AI, but efficient access to information is among the low-hanging fruits. Sarah Hoffman, VP of AI and ML at Fidelity, highlighted how generative AI facilitates collaboration and workflow definition, offering interfaces using text boxes instead of cluttered webpages.

Steve Wood, SVP of product and platform at Slack, discussed the role of large language models in making automation accessible to all employees. Wood emphasized the need to empower individuals throughout organizations to build and automate tasks, using the integration of knowledge held in large language models with data from Slack conversations to unlock bespoke business intelligence.

By prioritizing care and speed in AI adoption, businesses can harness the true potential of generative AI while ensuring equal access and delivering meaningful experiences to customers.

Frequently Asked Questions (FAQs) Related to the Above News

What were the main topics discussed at VentureBeat Transform Day 1?

The main topics discussed at VentureBeat Transform Day 1 included the rapid advancements and concerns surrounding generative artificial intelligence (AI), the need for a diverse range of AI models, and the potential for businesses to leverage AI to enhance efficiency and customer experience.

How did ChatGPT contribute to the widespread adoption of generative AI?

ChatGPT, along with other generative AI models, paved the way for widespread adoption of this technology across various domains.

What was emphasized at the Women in AI breakfast panel?

At the Women in AI breakfast panel, the need to ensure equal opportunities for all to benefit from AI technology was emphasized, comparing the pace of AI development to the movie Everything Everywhere All at Once.

What did Uljan Sharka, CEO of iGenius, highlight in the fireside chat?

Uljan Sharka stressed the importance of a human-centric approach to developing generative AI products and the need to prioritize human needs over technological advancements.

What did Ashok Srivastava, Chief Data Officer at Intuit, emphasize regarding generative AI models?

Ashok Srivastava emphasized the significance of high-quality training data for generative AI models, specifically having clean data at scale and having real-time data at scale.

How does Intuit utilize generative AI?

Intuit utilizes generative AI through its operating system, GenOS, to deliver personalized experiences to customers.

How did Mark Tack, CMO at TreasureData, and Gail Muldoon, data scientist at Stellantis, discuss leveraging generative AI?

Mark Tack highlighted the importance of having clear objectives, strategies, and metrics before incorporating generative AI into business operations, while Gail Muldoon discussed how generative AI helped Stellantis transition to a full online shopping experience.

How did Sarah Hoffman, VP of AI and ML at Fidelity, explain the benefits of generative AI?

Sarah Hoffman explained that generative AI facilitates collaboration and workflow definition, offering interfaces using text boxes instead of cluttered webpages.

How does Slack utilize large language models?

Steve Wood, SVP of product and platform at Slack, discussed how Slack integrates knowledge held in large language models with data from conversations to unlock bespoke business intelligence and make automation accessible to all employees.

What benefits can businesses achieve by prioritizing care and speed in AI adoption?

By prioritizing care and speed in AI adoption, businesses can harness the true potential of generative AI, ensure equal access to its benefits, and deliver meaningful experiences to customers.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

Advait Gupta
Advait Gupta
Advait is our expert writer and manager for the Artificial Intelligence category. His passion for AI research and its advancements drives him to deliver in-depth articles that explore the frontiers of this rapidly evolving field. Advait's articles delve into the latest breakthroughs, trends, and ethical considerations, keeping readers at the forefront of AI knowledge.

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