The integration of coding assistants into organizational workflows marks a transformative shift, enhancing efficiency and fostering innovation in the digital era. These AI-driven tools are revolutionizing software development and data analysis, providing unparalleled support in coding tasks, problem-solving, and process optimization. Leveraging the capabilities of coding assistants enables businesses to streamline operations and unlock new avenues for creativity and strategic thinking. This approach positions organizations at the forefront of technological advancement, ensuring competitiveness and adaptability in the rapidly evolving digital landscape.
We had a roundtable discussion on the topic with a set of experienced and distinguished leaders in the industry. The session was moderated by Kashyap Raibagi, Associate Director – Growth at AIM along with panelists Deepak Jose, Global Head and Senior Director for One Demand Data and Analytics Solutions at Mars, Chiara Piccinotti, (EX) VP of Commerce Product & Monetization Data Science at Twitch, Amazon, Sanyam Kumar, Associate Director, Data Science at Genmab, Mandy Plante, Senior Data & Analytics Leader and Srini Tanikella, CIO/Vice President, Information Technology at SGH - SMART Global Holdings.
Leveraging AI Capabilities Across Organizational Functions
My team at Mars is committed to responsibly using AI. We are working with NGOs like the Responsible AI Institute and big tech companies like Microsoft to develop our Responsible AI strategy to enhance our skills. There are four main areas where we are currently building capabilities. The first area is about knowledge synthesis, where we improve our skills by combining new LLM skills with existing tools. This will allow associates to interact with data like humans and help with adoption. The second area is linked to content and creativity. We use the LLMs for sales and marketing functions. This is an area where many organizations are beginning to use skills. The third area involves coding. We're partnering closely with Technology partners to create a skill to optimize coding reusability. For instance, we're using GitHub. The fourth area is focused on engagement: how we can engage better with our external consumers. We're also exploring more skills like Microsoft Fabric, which can create a One Lake skill that can be very impactful in a multi-cloud environment with data silos. Although we've made progress and our data science teams are applying these skills, we think that we have a lot more to learn. We're eager to continue our journey in using Technology responsibly and driving skill-building at Mars
