Here's how you can navigate the impact of automation and artificial intelligence on your Product R&D career.

In my view, even though integration of AI in research lab is still in early stage but the potential is enormous. Industry already realizes need of Product Management with AI Focus, giving rise of new roles like AI R&D Specialists and AI augmented R&D roles. There's a lot of exciting work already happening with AI in research labs like AI models for Target Identification and Validation (for Drug repurposing, Target discovery, Protein structures and Gene expression patterns; Virtual screening of millions of compounds); PreClinical research like disease modelling, toxicity and efficacy; Lastly for Omics data analysis etc. Many tools today like Deepmind Alphafold, atomwise , Benevolent AI or InSilio Medicine. No doubt, as AI Algorithm.

Yes, but in my view, critical Thinking is more important beyond developing algorithm for todays tools in artificial narrow intelligence for machines to excel at routine tasks, but human judgment and reasoning are irreplaceable. Hence, AI experts need to sharpen their ability to analyze complex problems and make informed decisions.

To thrive in AI-driven Product R&D, focus on continuous learning. Prioritize high-demand skills like data analysis, machine learning, and UX design. Complement AI with human strengths such as critical thinking and emotional intelligence. Utilize online courses and workshops to stay ahead. This proactive approach will ensure you remain indispensable and ahead in your career as the industry evolves.

Yes True. AI led product R&D opens up new avenue and driving to better product success. For instance, in FMCG, about 75% of FMCG and retail products fail during their first year. Same goes true to with F&B. AI led market research and using advance technologies namely AI Lead market research, AI Sensory with Digital Olfaction wavelength light, fMRI, EEG based , Digital Tongue, Touch sensors Image AI for Sensory perception texture contours elasticity hardness and analysis of users' responses using Fuzzy together with other logics contribute as multi-sensory perception Receptors reducing volatile and biased response of manual food tasting recommending a better scenario overall improving probability for product success.

Adapt Creatively:- --> Flexible Approaches: Be flexible in your approach to problem-solving and project management. AI and automation often require creative solutions. --> Experimentation: Encourage experimentation and innovation within your team. Use AI tools to prototype and test new ideas quickly.

When it comes to integrating AI into new product research and development, creativity plays a crucial role with focus on problem framing and Ideation, Data Driven Insight, Prototyping, Experimentation, Human AI Collaboration, ethical considerations etc.

Yes, it is important that current AI lead development scenarios shall be sensitive about future readiness with Ethical ai, Federated learning scenarios and AI dimerization. Why because advancement in AGI has now evolved as a fascinating and complex endeavor while there are significant technical, ethical, and regulatory challenges to overcome. As we move forward, it's crucial to consider alignment techniques, monitor complex systems, and explore ways to integrate human consciousness ethically in AGI development.