AI and ML design and development consultancy Pandata participated in and sponsored the AI & Big Data Expo North America, where its CEO explored new ways to adapt AI to the needs of modern businesses while ensuring high standards of ethics and transparency.
Continuing on its commitment to pioneering ethical AI, Pandata sponsored and shared solutions to top AI challenges at this year’s AI & Big Data Expo North America, held at the Santa Clara Convention Center in California.
More details can be found at https://pandata.co/blog/straight-from-ai-big-data-expo-generating-business-value-with-ai/
“At Pandata, our mission is to cultivate lasting, strategic partnerships with a variety of organizations, helping them proactively design AI that can be trusted,” said Pandata Chief People and Marketing Officer Nicole Ponstingle McCaffrey. “We believe that AI developed with transparency, privacy, and ethics in mind should be employed by all industries—which is why we were a proud Gold Sponsor at AI & Big Data Expo, an event that advocates for the need for trustworthy AI in industries from government to retail and beyond.”
Specializing in the development of advanced AI applications for clients across industries, Pandata prioritizes thought leadership and continued education, as the company is aware of the field’s high risk potential.
AI is transforming lives globally—from hyper-personalization to chatbots, quality control, call centers, and beyond. Whether you are building it or using software that has AI embedded in it, AI is no longer a ‘nice-to-have’, it’s an expectation. With this transformation comes mounting examples of unintended consequences of AI, including discrimination against female candidates to prioritizing healthcare of white patients over black patients.
Many algorithms powering AI solutions lack the ability to be easily audited and may compromise customers’ privacy. Unregulated AI can potentially undermine your strategy to build an inclusive, fair, and ethical organization, at the cost of consumer trust. Your organization shouldn’t have to choose between avoiding AI or accepting its risks wholesale. Unintended consequences are a result of using highly complex models that are difficult to interpret and built on large datasets that contain hard-to-identify biases. Building with trust as the foundation leads to an explainable solution that increases trust, overall buy-in, and ultimate success.
Pandata CEO and AI Strategist, Cal Al-Dhubaib, spoke on Day 1 of the conference. His session, “Generating Business Value with Applied Machine Learning and AI,” explored the challenges and solutions of making AI more robust while minimizing the risk of potentially negative consequences.
As strategic experts in the design and development of AI and ML solutions, Pandata has helped nearly 100 organizations across sectors ranging from healthcare to energy and software.
For more details, visit https://pandata.co/success-stories
Release ID: 89086036
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