Hiring and developing AI talent
Why it matters: Hiring and developing AI talent is essential for building skilled teams to solve challenges and drive AI innovation.
Everything AI, Robotics, and IoT
Sanksshep Mahendra is a technology executive with success in driving, vision, strategy, design, and execution of software engineering for the web, mobile, apps, social, voice, IoT, applications along with Machine learning and AI. His expertise lies in partnering with business leaders, powering through roadblocks, and leading global teams to deliver disruptive products that advance the organization’s mission and capture game-changing results in the market. Sanksshep Mahendra has a lot of experience in M&A and compliance, he holds a Master's degree from Pratt Institute and executive education from Massachusetts Institute of Technology, in AI, Robotics, and Automation.
Why it matters: Hiring and developing AI talent is essential for building skilled teams to solve challenges and drive AI innovation.
Why it matters: Explore creating cross-functional AI teams, roles, collaboration, AI leadership, communication, and success strategies.
Why it matters: Managing AI risks and challenges with ethical AI, data security, regulatory compliance, and performance monitoring strategies.
Why it matters: Developing a Culture of Innovation with AI: Empower teams, foster creativity, and drive success with AI integration.
Why it matters: Ensuring data quality for effective AI with tips on data cleaning, validation tools, and addressing inconsistencies effectively.
Why it matters: AI for Competitive Advantage – Explore AI’s role in efficiency, customer personalization, and driving business growth.
Why it matters: Measuring ROI on AI investments: Learn key metrics, tools, and strategies to analyze outcomes and drive profitability.
Why it matters: Scaling AI across business functions with strategies, steps, challenges, benefits, case studies, and ROI insights.
Why it matters: Explore how AI improves product development, from design to testing, making processes efficient and innovation-driven.
Why it matters: Explore seamless integration of AI with systems, covering tools, challenges, security, and real-world examples for success.