Clinical trials are a massive industry with brutal economics, long timelines, and failure rates that would be unacceptable in almost any other sector. In this episode, Dr Andree Bates is joined by Dr Joseph Geraci of NetraMark to break down why trials fail so often, how patient heterogeneity drives cost and uncertainty, and where AI can realistically shift the economics.

Joseph shares his unusual path from mathematics and mathematical physics into oncology and medical science, including a decision to move into hospital research rather than follow a more traditional academic route. That shift shaped his focus: not just discovering more molecules, but understanding why the same drug can work brilliantly for some patients and fail for others.

A central theme is that clinical trials are not “one disease, one patient type”. In many areas, disease definitions are too broad for trial design, making trials feel like trying to hit multiple dartboards with one dart. Joseph explains how NetraMark’s approach aims to identify meaningful subpopulations inside small datasets, finding the “pocket” where a drug’s true advantage shows up, without discarding patients as outliers.

The conversation also touches on regulators, including growing interest in innovation pathways, but also the fear pharma teams have about changing protocols and risking setbacks. Joseph argues that AI’s biggest economic value in trials is speed, using better insight from limited trial data to guide enrichment strategies, smarter substudy decisions, and faster iteration, especially in oncology and rare disease where time is everything.

Topics Covered

• Why clinical trial economics are becoming unsustainable

• Patient heterogeneity and why disease definitions break trials

• Finding “pockets” of responders within small datasets

• Trial enrichment and substudies that reveal a drug’s advantage

• Why pharma adoption can be slow, even when failures are constant

• Regulatory interest, guidelines, and sponsor risk aversion

• Large language models vs mathematically augmented AI approaches

• Speed as the biggest economic lever in trials

• Practical examples across depression, schizophrenia, oncology, and beyond

• What clinical trials could look like in five years with AI-driven insight

This show blends deep sector experience with practical conversations that demystify AI for biopharma leaders, from start-up biotech right through to Big Pharma. Each episode features experts building AI-powered tools that are driving real-world results across discovery, R&D, clinical trials, medical affairs, market access, regulatory, insights, sales, marketing, and more. 

Dr. Andree Bates LinkedIn | Facebook | X

AI capability has never been higher, yet most pharma AI programmes are still failing to create measurable business impact. In this solo episode, Dr Andree Bates breaks down why many pharma and biotech AI strategies are “broken before they even begin” and what a real AI strategic blueprint needs to include if you want adoption, scale, and outcomes, not just impressive pilots.

Dr Andree explains the core paradox: AI can now synthesise literature at speed, accelerate discovery, and outperform human experts in specific tasks, but the business results are often disappointing because the failure is rarely technical. It is strategic. She describes the “technical obsession trap”, where organisations spend months optimising models and benchmarking competitors while adoption remains low and teams are not operationally ready to act on the outputs.

She outlines three common failure modes:

• Innovation Theatre, where disconnected pilots never compound into enterprise value

• Competitor benchmarking, where companies copy use cases that do not fit their context

• Technology first strategy, where tools are bought before priorities are defined
  

From there, she maps what a strong pharma AI blueprint must cover: grounding in business objectives, end to end deployment architecture (data, governance, capability, change), leadership and culture, rigorous financial modelling tied to revenue and ROI, and alignment across functions including commercial, medical, regulatory, R&D, market access, insights, and tech teams.

Dr Andree closes with a clear challenge for leadership: competitive advantage will come to organisations that build the most intelligent operating model around AI, not those with the biggest budgets. She also offers a 45 minute AI strategic diagnostic for pharma and biotech leaders who want an honest read on what to fix before investing further.

Topics Covered

• Why pharma AI impact often disappoints despite powerful tools

• The “technical obsession trap” and the AI strategy blind spot

• Innovation Theatre, competitor benchmarking, and technology first mistakes

• What a pharma AI strategic blueprint must include

• Governance as a foundation for scale and regulatory trust

• Leadership, culture, and adoption as the real differentiators

• Financial modelling and prioritisation based on ROI and revenue impact

• Organisational alignment across the full pharma value chain

• Choosing the right advisory partner and avoiding generic frameworks

• Why strategy must come before technology to build durable advantage
  

AI For Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr Andree Bates, created to help pharma, biotech and healthcare organisations understand how AI-based technologies can save time, grow brands, and improve company results.

This show blends deep sector experience with practical conversations that demystify AI for biopharma leaders, from start-up biotech right through to Big Pharma. Each episode features experts building AI-powered tools that are driving real-world results across discovery, R&D, clinical trials, medical affairs, market access, regulatory, insights, sales, marketing, and more.

Dr. Andree Bates LinkedIn | Facebook | X

Healthcare accessibility is still being held hostage by phone queues, missed calls, and clunky portals. In this episode, Dr Andree Bates sits down with Josh Taylor of TxtSquad to explore why simple, secure texting can remove friction for patients and providers, and how AI can support the conversation without making care feel robotic.

Josh explains why SMS works where apps often fail: it is familiar, low effort, and asynchronous. That means patients can reply on their own time, while care teams can manage conversations in a way that fits real clinic workflows instead of forcing everyone into yet another platform.

They dig into the pharma and adherence angle too. Josh shares how two-way messaging helps teams move beyond generic reminders and uncover the real reasons people stop taking medication, opening the door to earlier support, smarter interventions, and better outcomes.

Finally, Josh outlines where AI adds value inside messaging: triage for common questions, translation, summarisation, and staff copilots. He also highlights the importance of compliance, clear boundaries, and human oversight when dealing with sensitive health information. The future, he suggests, is smarter communication across SMS, voice, and phone-based assistants, designed to meet patients where they already are.

Topics Covered

• Why portals and apps struggle with adoption in healthcare

• SMS as a low-barrier, asynchronous engagement channel

• Building a two-way patient to provider communication loop

• Medication adherence: understanding drop-off, not just sending reminders

• Patient assistance programmes and support at scale

• Clinical trial recruitment and retention using messaging

• AI in messaging: triage, translation, summarisation, and staff copilots

• Compliance considerations and handling sensitive information

• What comes next: voice agents and deeper integration with phone workflows

About the Podcast

AI for Pharma Growth is a podcast focused on exploring how artificial intelligence can revolutionise healthcare by addressing disparities and creating equitable systems. Join us as we unpack groundbreaking technologies, real-world applications, and expert insights to inspire a healthier, more equitable future.

This show brings together leading experts and changemakers to demystify AI and show how it’s being used to transform healthcare. Whether you're in the medical field, technology sector, or just curious about AI’s role in social good, this podcast offers valuable insights.

AI For Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr Andree Bates created to help organisations understand how the use of AI based technologies can easily save them time and grow their brands and business. This show blends deep experience in the sector with demystifying AI for all pharma people, from start up biotech right through to Big Pharma. In this podcast Dr Andree will teach you the tried and true secrets to building a pharma company using AI that anyone can use, at any budget.

As the author of many peer-reviewed journals and having addressed over 500 industry conferences across the globe, Dr Andree Bates uses her obsession with all things AI and futuretech to help you to navigate through the, sometimes confusing but, magical world of AI powered tools to grow pharma businesses.

This podcast features many experts who have developed powerful AI powered tools that are the secret behind some time saving and supercharged revenue generating business

Dr. Andree Bates LinkedIn | Facebook | X

As artificial intelligence becomes increasingly woven into everyday life, the real question isn’t just what AI can do — it’s what it should do for humans. In this episode, Dr Andree Bates interviews Dr Morteza Zihayat of Heisenberg Network to explore Human-Centred AI: designing intelligent systems that prioritise welfare, autonomy, dignity and trust over pure technical capability.

Morteza explains how his background in data mining led to a key insight: numbers can be incredibly powerful, but they still “miss the mark” when human values are ignored. That perspective shaped his work in Human-Centred AI and helped inspire Heisenberg Network, a decentralised infrastructure designed to transform fragmented, messy data into high-quality, AI-ready intelligence — in minutes rather than weeks — while dramatically reducing cost.

The conversation digs into what human-centred design looks like in practice. Morteza introduces a “ladder of priorities” to manage conflicting values — from safety and laws at the top, through ethics and platform policies, down to individual preferences — and argues that making this ladder public gives people a right to debate and appeal decisions when something feels wrong.

Finally, Morteza tackles the unavoidable trade-offs between performance and fairness, sharing a real example from mental health research where reducing model accuracy produced a fairer system that clinicians felt more comfortable using. His key message is urgent: powerful AI is coming either way — making it human-centred is a choice we need to commit to now, with transparency becoming non-negotiable.

Topics Covered

• What Human-Centred AI means in practice

• Turning user stories into concrete design checks

• The “ladder of priorities” for managing conflicting values

• Designing systems for welfare, autonomy, dignity and trust

• Power caps and keeping AI controllable

• Personalisation vs wellbeing (and avoiding filter bubbles)

• Where bias enters: data, models, and feedback loops

• Debiasing pipelines and fairness as real-world data shifts

• Learning from users without storing raw personal data

• Explainability challenges with reasoning models

• Why transparency is becoming non-negotiable

• When less accuracy can be the more responsible choice

About the Podcast

AI for Pharma Growth is a podcast focused on exploring how artificial intelligence can revolutionise healthcare by addressing disparities and creating equitable systems. Join us as we unpack groundbreaking technologies, real-world applications, and expert insights to inspire a healthier, more equitable future.

This show brings together leading experts and changemakers to demystify AI and show how it’s being used to transform healthcare. Whether you're in the medical field, technology sector, or just curious about AI’s role in social good, this podcast offers valuable insights.

AI For Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr Andree Bates created to help organisations understand how the use of AI based technologies can easily save them time and grow their brands and business. This show blends deep experience in the sector with demystifying AI for all pharma people, from start up biotech right through to Big Pharma. In this podcast Dr Andree will teach you the tried and true secrets to building a pharma company using AI that anyone can use, at any budget.

As the author of many peer-reviewed journals and having addressed over 500 industry conferences across the globe, Dr Andree Bates uses her obsession with all things AI and futuretech to help you to navigate through the, sometimes confusing but, magical world of AI powered tools to grow pharma businesses.

This podcast features many experts who have developed powerful AI powered tools that are the secret behind some time saving and supercharged revenue generating business.

Dr. Andree Bates LinkedIn | Facebook | X

Designing proteins that have never existed in nature is no longer sci-fi — it’s becoming a real drug discovery strategy. In this episode, Kashif Sadiq, Founder & CEO of DenovAI Biotech, explains how AI is powering a shift from searching for biologic binders to intentionally designing new proteins from scratch.

Kashif shares his journey from studying physics at University of Cambridge into computational biophysics, and how breakthroughs like AlphaFold from DeepMind helped unlock the next frontier: de novo protein design. Instead of hoping evolution has already produced a usable molecule, Kashif describes how modern AI can engineer bespoke proteins for specific functions, including challenging targets where traditional approaches come up short.

The conversation dives into the sheer scale of “protein space” and why evolution has only explored a tiny fraction of what’s possible. Kashif outlines how this opens the door to targeting diseases and biological mechanisms that have historically been considered undruggable, especially where flat protein interfaces or complex signalling pathways have made small molecules ineffective.

Finally, Kashif explains why combining generative AI with physics-based methods is essential to reduce false positives, improve real-world binding performance, and enable “one-shot design” — where discovery and optimisation become a single integrated process. He also shares what keeps him up at night: clinical trial attrition — and why designing better earlier may be the key to improving success later.

Topics Covered

• De novo protein design vs traditional biologics discovery

• Why evolution explored only a tiny fraction of protein space

• “Programmable biologics” and intentional molecular design

• Alpha Design and designing proteins from the inverse problem

• Antibodies, nanobodies, and therapeutic protein engineering

• Combining generative AI with physics-based validation

• Reducing false positives in protein binding predictions

• “One-shot design” and compressing discovery timelines

• Undruggable targets, flat interfaces, and intracellular signalling

• Clinical trial attrition and what’s missing at the preclinical stage

• When the first de novo-designed therapeutic could enter trials
  

About the Podcast

AI for Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr Andree Bates, created to help pharma, biotech and healthcare organisations understand how AI-based technologies can save time, grow brands, and improve company results.

This show blends deep sector experience with practical, no-fluff conversations that demystify AI for biopharma execs — from start-up biotech right through to Big Pharma. Each episode features experts building AI-powered tools that are driving real-world results across discovery, R&D, clinical trials, market access, medical affairs, regulatory, insights, sales, marketing, and more.

Dr. Andree Bates LinkedIn | Facebook | X

Large Language Models (LLMs) are moving far beyond text generation—and into the heart of scientific discovery and pharmaceutical research. In this episode, Javier Tordable, founder and CEO of Pauling.ai and former Google technologist, explains how agentic AI systems are transforming early-stage drug discovery.

Javier shares how modern LLMs differ from earlier generations, highlighting their ability to perform autonomous, multi-step scientific workflows rather than isolated tasks. These AI agents can read and synthesize massive volumes of scientific literature, generate novel hypotheses, validate ideas against published research, and accelerate computational chemistry simulations that once took months or years.

The discussion dives into how LLMs are being used today to identify drug targets, design molecules, optimize clinical trials, and reduce manual scientific labor, while still preserving the critical role of human creativity and experimental validation. Javier also addresses the real risks—hallucinations, data quality, reproducibility—and why hybrid AI + physics-based approaches are essential for trustworthy results.

This episode is a must-listen for researchers, founders, and operators exploring LLMs in biotech, pharma AI, scientific automation, and computational drug discovery.

Topics Covered

1. Large Language Models (LLMs) in science and pharma
2. AI agents and autonomous research workflows
3. Early-stage drug discovery acceleration
4. Computational chemistry and molecular simulations
5. AI-assisted literature review and hypothesis generation
6. Clinical trial optimization with AI
7. Reducing R&D timelines and operational bottlenecks
8. Risks, hallucinations, and validation in scientific AI

About the Podcast

AI for Pharma Growth is a podcast focused on exploring how artificial intelligence can revolutionise healthcare by addressing disparities and creating equitable systems. Join us as we unpack groundbreaking technologies, real-world applications, and expert insights to inspire a healthier, more equitable future.

This show brings together leading experts and changemakers to demystify AI and show how it’s being used to transform healthcare. Whether you're in the medical field, technology sector, or just curious about AI’s role in social good, this podcast offers valuable insights.

AI For Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr. Andree Bates created to help organisations understand how the use of AI based technologies can easily save them time and grow their brands and business. This show blends deep experience in the sector with demystifying AI for all pharma people, from start up biotech right through to Big Pharma. In this podcast Dr Andree will teach you the tried and true secrets to building a pharma company using AI that anyone can use, at any budget.

As the author of many peer-reviewed journals and having addressed over 500 industry conferences across the globe, Dr Andree Bates uses her obsession with all things AI and futuretech to help you to navigate through the, sometimes confusing but, magical world of AI powered tools to grow pharma businesses.

This podcast features many experts who have developed powerful AI powered tools that are the secret behind some time saving and supercharged revenue generating business results. Those who share their stories and expertise show how AI can be applied to sales, marketing, production, social media, psychology, customer insights and so much more.

Dr. Andree Bates LinkedIn | Facebook | Twitter

Artificial intelligence is rapidly reshaping the pharmaceutical industry—and nowhere is that more evident than in small-molecule drug discovery. In this episode, we sit down with Tom Shani, CEO and co-founder of ProPhet, an AI-driven biotech company focused on discovering drugs for hard-to-target proteins.

Tom explains how machine learning models, transformers, and AI-driven molecular representations are overcoming the biggest limitations of traditional drug discovery: slow timelines, high failure rates, missing data, and billion-dollar R&D costs. Rather than relying solely on physics-based simulations and trial-and-error lab work, AI systems learn patterns directly from noisy biological data—making them uniquely suited for real-world biology.

The conversation explores how AI can compress drug discovery timelines from decades to years, reduce failed trials, and dramatically lower costs by improving early-stage target and molecule selection. Tom also breaks down why small molecules remain the backbone of modern medicine, how AI enables scalable exploration of vast chemical space, and why trust, regulation, and validation remain the biggest hurdles to adoption.

This episode is essential listening for anyone working in pharma R&D, biotech, AI-driven drug discovery, computational biology, or life sciences innovation.

Topics Covered

1. AI-powered small-molecule drug discovery
2. Machine learning vs traditional pharmaceutical R&D
3. Hard-to-drug proteins and undruggable targets
4. Transformers, AlphaFold, and molecular representations
5. Reducing drug discovery timelines and costs
6. AI robustness to missing and noisy biological data
7. Off-target effects, toxicity, and safety prediction
8. The future of AI in pharma and biotech startups

About the Podcast

AI for Pharma Growth is a podcast focused on exploring how artificial intelligence can revolutionise healthcare by addressing disparities and creating equitable systems. Join us as we unpack groundbreaking technologies, real-world applications, and expert insights to inspire a healthier, more equitable future.

This show brings together leading experts and changemakers to demystify AI and show how it’s being used to transform healthcare. Whether you're in the medical field, technology sector, or just curious about AI’s role in social good, this podcast offers valuable insights.

AI For Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr. Andree Bates created to help organisations understand how the use of AI based technologies can easily save them time and grow their brands and business. This show blends deep experience in the sector with demystifying AI for all pharma people, from start up biotech right through to Big Pharma. In this podcast Dr Andree will teach you the tried and true secrets to building a pharma company using AI that anyone can use, at any budget.

As the author of many peer-reviewed journals and having addressed over 500 industry conferences across the globe, Dr Andree Bates uses her obsession with all things AI and futuretech to help you to navigate through the, sometimes confusing but, magical world of AI powered tools to grow pharma businesses.

This podcast features many experts who have developed powerful AI powered tools that are the secret behind some time saving and supercharged revenue generating business results. Those who share their stories and expertise show how AI can be applied to sales, marketing, production, social media, psychology, customer insights and so much more.

Dr. Andree Bates LinkedIn | Facebook | Twitter

In this episode, Dr. Andre Bates, Founder & CEO of Eularis, joins Cures and Capital hosts Martin and Simona to explore how artificial intelligence is transforming drug discovery, R&D productivity, and enterprise strategy across the biopharma industry.

Dr. Andre Bates shares a pragmatic view on AI in the biopharma industry, cutting through the hype to explore where AI is already delivering value and where companies need to focus for real impact. From regulatory document preparation to AI-driven drug discovery, Andre explains how AI is transforming the industry—and why human adoption is just as critical as the technology itself.

What You’ll Learn from This Episode:

• The “low-hanging fruit” for AI in pharma, including regulatory, clinical, and medical affairs applications.
• How AI is accelerating drug discovery, clinical trials, and predictive healthcare.
• The importance of human trust and adoption in successful AI implementation.
• Predictions for AI-driven transformations in business models, digital twins, and disease prevention.
• Practical steps for building a disciplined AI strategy with measurable ROI.

About the Podcast

AI for Pharma Growth is a podcast focused on exploring how artificial intelligence can revolutionise healthcare by addressing disparities and creating equitable systems. Join us as we unpack groundbreaking technologies, real-world applications, and expert insights to inspire a healthier, more equitable future.

This show brings together leading experts and changemakers to demystify AI and show how it’s being used to transform healthcare. Whether you're in the medical field, technology sector, or just curious about AI’s role in social good, this podcast offers valuable insights.

AI For Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr. Andree Bates created to help organisations understand how the use of AI based technologies can easily save them time and grow their brands and business. This show blends deep experience in the sector with demystifying AI for all pharma people, from start up biotech right through to Big Pharma. In this podcast Dr Andree will teach you the tried and true secrets to building a pharma company using AI that anyone can use, at any budget.

As the author of many peer-reviewed journals and having addressed over 500 industry conferences across the globe, Dr Andree Bates uses her obsession with all things AI and futuretech to help you to navigate through the, sometimes confusing but, magical world of AI powered tools to grow pharma businesses.

This podcast features many experts who have developed powerful AI powered tools that are the secret behind some time saving and supercharged revenue generating business results. Those who share their stories and expertise show how AI can be applied to sales, marketing, production, social media, psychology, customer insights and so much more.

Dr. Andree Bates LinkedIn | Facebook | Twitter

In this episode, Dr. Andre Bates, Founder & CEO of Eularis, joins Cures and Capital hosts Martin and Simona to explore how artificial intelligence is transforming drug discovery, R&D productivity, and enterprise strategy across the biopharma industry.

Dr. Bates shares actionable insights into the real-world potential of AI to reduce time-to-market, cut development costs, and create competitive advantage. From AI strategy alignment with business goals to executive board responsibilities and data governance, this episode dives deep into what it takes to implement AI successfully across the pharmaceutical value chain.

What You’ll Learn in This Episode:

• How AI can accelerate drug discovery and clinical trials, potentially reducing costs and time-to-market by up to 50–60%.
• Why many pharma companies are struggling to convert AI pilots into measurable business outcomes.
• The importance of connecting AI initiatives to strategic business objectives, rather than treating them as isolated tech projects.
• Key roles for the CEO, CFO, R&D leaders, and board directors in driving enterprise-wide AI adoption.
• How to identify "pockets of excellence" in AI implementation and the path to fully integrated AI in pharma.
• Practical guidance on leveraging company data for AI while avoiding common pitfalls.
• Emerging trends like digital twins, synthetic data, and multimodal AI for the life sciences sector.

Whether you’re a pharma executive, AI strategist, or R&D professional, this episode provides a comprehensive roadmap to harness AI for sustainable innovation and measurable ROI in biopharma.

About the Podcast

AI for Pharma Growth is a podcast focused on exploring how artificial intelligence can revolutionise healthcare by addressing disparities and creating equitable systems. Join us as we unpack groundbreaking technologies, real-world applications, and expert insights to inspire a healthier, more equitable future.

This show brings together leading experts and changemakers to demystify AI and show how it’s being used to transform healthcare. Whether you're in the medical field, technology sector, or just curious about AI’s role in social good, this podcast offers valuable insights.

AI For Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr. Andree Bates created to help organisations understand how the use of AI based technologies can easily save them time and grow their brands and business. This show blends deep experience in the sector with demystifying AI for all pharma people, from start up biotech right through to Big Pharma. In this podcast Dr Andree will teach you the tried and true secrets to building a pharma company using AI that anyone can use, at any budget.

As the author of many peer-reviewed journals and having addressed over 500 industry conferences across the globe, Dr Andree Bates uses her obsession with all things AI and futuretech to help you to navigate through the, sometimes confusing but, magical world of AI powered tools to grow pharma businesses.

This podcast features many experts who have developed powerful AI powered tools that are the secret behind some time saving and supercharged revenue generating business results. Those who share their stories and expertise show how AI can be applied to sales, marketing, production, social media, psychology, customer insights and so much more.

Dr. Andree Bates LinkedIn | Facebook | Twitter

In this episode, Dr. Andre Bates, Founder & CEO of Eularis, joins Cures and Capital hosts Martin and Simon for a deep dive into how AI is transforming the biopharma industry. With over two decades of experience applying AI across R&D, clinical development, regulatory, medical affairs, and commercial teams, Dr. Bates explains how the field has evolved from early digitisation to the current generative AI era.

She discusses the post-ChatGPT shift in executive decision-making, why many organisations are stuck in endless piloting, and how companies can build a strategic, business-aligned AI roadmap that delivers real-world value. Dr. Bates also breaks down a practical framework for calculating ROI on AI initiatives and highlights where pharma teams are seeing the strongest impact today—from drug discovery and clinical trials to regulatory workflows and personalised commercial engagement.

What You’ll Learn From This Episode

• How AI has evolved in biopharma over the past two decades.
• Why ChatGPT created a turning point for pharma executives.
• Common pitfalls that cause AI pilots to fail—and how to avoid them.
• How to build a strategic, outcome-driven AI roadmap.
• A practical framework for calculating ROI on AI initiatives.
• Where AI delivers the highest ROI across the pharma value chain.
• How AI can elevate—not replace—the expertise of scientific, clinical, and medical teams.

About the Podcast

AI for Pharma Growth is a podcast focused on exploring how artificial intelligence can revolutionise healthcare by addressing disparities and creating equitable systems. Join us as we unpack groundbreaking technologies, real-world applications, and expert insights to inspire a healthier, more equitable future.

This show brings together leading experts and changemakers to demystify AI and show how it’s being used to transform healthcare. Whether you're in the medical field, technology sector, or just curious about AI’s role in social good, this podcast offers valuable insights.

AI For Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr. Andree Bates created to help organisations understand how the use of AI based technologies can easily save them time and grow their brands and business. This show blends deep experience in the sector with demystifying AI for all pharma people, from start up biotech right through to Big Pharma. In this podcast Dr Andree will teach you the tried and true secrets to building a pharma company using AI that anyone can use, at any budget.

As the author of many peer-reviewed journals and having addressed over 500 industry conferences across the globe, Dr Andree Bates uses her obsession with all things AI and futuretech to help you to navigate through the, sometimes confusing but, magical world of AI powered tools to grow pharma businesses.

This podcast features many experts who have developed powerful AI powered tools that are the secret behind some time saving and supercharged revenue generating business results. Those who share their stories and expertise show how AI can be applied to sales, marketing, production, social media, psychology, customer insights and so much more.

Dr. Andree Bates LinkedIn | Facebook | Twitter

In this episode, we take you inside the AI factory — the place where companies are transforming real business operations using AI workflows, not just experimenting with flashy demos or proofs of concept.

AI strategist Dustin Jensen breaks down what differentiates AI systems that scale from those that become expensive experiments. He explains why companies waste money when they “throw AI at a workflow” without truly understanding the process, the data, and the human-in-the-loop requirements.

You’ll hear how to build AI workflows that integrate with existing infrastructure, collaborate with people, and close the loop on real tasks — not copilots that need constant oversight.

What You’ll Learn:

• What an AI factory actually is and how it works
• How to turn AI pilots into production-grade systems
• The role of workflow discovery and data flow mapping
• Why most AI deployments fail due to poor data quality and lack of readiness
• How to design systems where humans and AI collaborate seamlessly
• The mindset shift employees need when adopting generative AI tools
• The difference between copilots and AI agents that close the loop on tasks
• How to build AI with safety, reliability, and error-handling designed in
• Why small, specialized agents outperform “monolithic” do-everything models

About the Podcast

AI for Pharma Growth is a podcast focused on exploring how artificial intelligence can revolutionise healthcare by addressing disparities and creating equitable systems. Join us as we unpack groundbreaking technologies, real-world applications, and expert insights to inspire a healthier, more equitable future.

This show brings together leading experts and changemakers to demystify AI and show how it’s being used to transform healthcare. Whether you're in the medical field, technology sector, or just curious about AI’s role in social good, this podcast offers valuable insights.

AI For Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr. Andree Bates created to help organisations understand how the use of AI based technologies can easily save them time and grow their brands and business. This show blends deep experience in the sector with demystifying AI for all pharma people, from start up biotech right through to Big Pharma. In this podcast Dr Andree will teach you the tried and true secrets to building a pharma company using AI that anyone can use, at any budget.

As the author of many peer-reviewed journals and having addressed over 500 industry conferences across the globe, Dr Andree Bates uses her obsession with all things AI and futuretech to help you to navigate through the, sometimes confusing but, magical world of AI powered tools to grow pharma businesses.

This podcast features many experts who have developed powerful AI powered tools that are the secret behind some time saving and supercharged revenue generating business results. Those who share their stories and expertise show how AI can be applied to sales, marketing, production, social media, psychology, customer insights and so much more.

Dr. Andree Bates LinkedIn | Facebook | Twitter