Gaule's Question Time

In a heartfelt interview with Andrew Gaule, (linkedin.com/in/andrew-gaule-aimava), Joseph Orya (https://www.linkedin.com/in/joseph-orya-3b8778179/ ), the co-founder and lead at Peddle Innovation Lab, shares his inspiring journey from a remote Nigerian village to becoming a social entrepreneur dedicated to transforming lives through education. Faced with poverty and the loss of his parents at a young age, Joseph's path to education was fraught with challenges. However, his personal experiences fueled his determination to provide underprivileged youth with access to quality education and digital skills. Andrew is a mentor for Joseph on the Just IMAGINE If social entrepreneur program by Paul Lindley at Uni of Reading.
Orya's brainchild, Peddle Innovation Lab, develops portable, solar-powered mobile classrooms equipped with AI-enabled platforms, enabling learners in both grid and off-grid areas to access educational resources. Targeting children aged 6 to 18, the initiative offers lessons in literacy, mathematics, computer appreciation, and coding, bridging the digital divide and fostering lifelong learning opportunities. See Joseph's video for Just IMAGINE If at https://youtu.be/c_vYBb0IB_U?si=cGK4NAF3aEHpCK6U See details and topics below.

To book a meeting to discuss entrepreneurship, AI and other business change with Andrew - https://calendly.com/andrew-gaule/30min?

AI Programmes to build your AI and Business Skills. https://www.eventbrite.co.uk/o/aimava-global-advisory-firm-11938296163#events
The context of tech and business change featured in Andrew's book "Purpose to Performance: Innovative New Value Chains" https://amzn.eu/d/6cK5C6Q and AI was discussed in this context.

You can listen to this interview as a podcast on Gaule's Question Time on Apple, Spotify, Google and many other podcast channels. https://www.podomatic.com/podcasts/gaulesqt
Subscribe for future interviews.
See this and other video content at Aimava Purpose to Performance Channel - https://www.youtube.com/channel/UCV9o-htFNIk9Yt7jp2XcdWw

Topics discussed.
Joseph's background and inspiration behind Peddle Innovation Lab.
Explanation of what Peddle Innovation Lab does and the services it provides.
Details about the age range and subjects taught to the students.
Locations and number of schools/camps where the program has been implemented.
Impact on children's lives and the staggering number of out-of-school children in Nigeria.
Scaling needs, including hardware, energy systems, and funding.
Joseph's team and their combined experience.
Financial ask and projected impact on the number of beneficiaries.
Business model and revenue streams for sustainability.
Joseph's inspiring message and call to action for others to create change.

To book a meeting to discuss entrepreneurship, AI and other business change with Andrew - https://calendly.com/andrew-gaule/30min?

This interview between Andrew Gaule, (linkedin.com/in/andrew-gaule-aimava) and Chris Noring, (https://www.linkedin.com/in/christoffer-noring-3257061/) a Senior Cloud Advocate at Microsoft, covers how artificial intelligence is transforming businesses. See details and topics below. 
Chris's GenAI in Practice Newsletter https://www.linkedin.com/newsletters/generative-ai-in-practice-7148117999957274624/
AI Programmes to build your AI and Business Skills. https://www.eventbrite.co.uk/o/aimava-global-advisory-firm-11938296163#events
The context of tech and business change featured in Andrew's book "Purpose to Performance: Innovative New Value Chains" https://amzn.eu/d/6cK5C6Q and AI was discussed in this context. 

To book a meeting to discuss AI and other business change with Andrew - https://calendly.com/andrew-gaule/30min?

Chris Noring and Andrew Gaule discuss Microsoft's pivot towards being an AI-first company through investments in models like OpenAI. Noring shares how he sees businesses moving away from search engine optimization to instead optimizing for AI assistants. He predicts the need for AI coaches similar to agile coaches to help companies adopt AI. Noring and Gaule explore the role of partnerships in AI adoption. They also debate approaches for measuring ROI and strategic value of AI investments. Overall, they are excited by the potential for AI to free up human time for more creative, strategic work. However, they emphasize that successful implementation requires change management and clear communication between technology partners and business stakeholders.

Leveraging AI to Transform Your Business
Purpose:
The core purpose for businesses adopting AI should be to integrate it in a way that augments human capabilities and transforms business models, rather than solely focusing on cost savings. AI can elevate human productivity and creativity. Companies should find opportunities for leveraging AI across all products and data sources.
Process:
The process for implementing AI requires starting with small experiments on discrete use cases where impact can be measured, before scaling across the organization. Hands-on workshops can show employees AI’s value and help them become comfortable interacting with systems using natural language prompts. Starting with no-code solutions allows for rapid prototyping.
People:
A key requirement for successfully leveraging AI is change management and upskilling employees to effectively utilize these new tools. “AI coaches” will be crucial to help workers adapt, much as “agile coaches” emerged. Enhanced communication skills and clarity when providing prompts and requirements will drive optimal AI output.
Partners:
AI adoption requires both business and technology partners. Communication partners can translate business needs while technical partners handle solution implementation. Look for partners with domain expertise in your industry who also understand core barriers to organizational change management. Vet partners thoroughly regarding data privacy and security.
Performance Measures:
The ROI of AI investments can be measured based on time savings and bottom line business performance where applicable. In some cases, AI competency is a strategic imperative for competitiveness. Set goals and KPIs early about what business objectives AI solutions will achieve. Continually assess how worker time is freed up to focus on more creative, strategic initiatives after AI automation.
With the right vision and preparation, AI technology offers enormous potential to transform businesses by enhancing human productivity and innovation. Following the strategies around purpose, process, people, partners and performance measurement outlined above will set your organization up for success.

To book a meeting to discuss AI and other business change with Andrew - https://calendly.com/andrew-gaule/30min?

In this interview hosted by Andrew Gaule (linkedin.com/in/andrew-gaule-aimava), Graphcore CEO Nigel Toon (https://www.linkedin.com/in/nigeltoon/) shares his perspectives on artificial intelligence and the hardware powering the latest capabilities. Nigel and Andrew are mentors on the AI Stream at Creative Destruction Labs based in Oxford University. See more of the topics below.
The discussion includes key insights from Nigel's book "How AI Thinks: How we built it, how it can help us, and how we can control it" https://amzn.eu/d/bkDXk7Y
The context of tech and business change featured in Andrew's book "Purpose to Performance: Innovative New Value Chains" https://amzn.eu/d/6cK5C6Q and AI was discussed in this context. 

To book a meeting to discuss AI and other business change with Andrew - https://calendly.com/andrew-gaule/30min?

You can listen to this interview as a podcast on Gaule's Question Time on Apple, Spotify, Google and many other podcast channels. https://www.podomatic.com/podcasts/gaulesqt
Subscribe for future interviews. 
See this and other video content at Aimava Purpose to Performance Channel - https://www.youtube.com/channel/UCV9o-htFNIk9Yt7jp2XcdWw

Nigel outlines how far AI has advanced, from beating the world champion at Go to the recent explosion in popularity of chatbots like ChatGPT. Underpinning these leaps in software are rapid gains in semiconductor chips, improving at an astonishing 25 billion fold over 60 years. Graphcore builds specialty AI chips to provide an alternative to dominant player Nvidia, allowing more researchers to accelerate discoveries.
Beyond keeping up with technical progress, Nigel stresses that education must transform to prioritize creativity over rote learning. He welcomes AI-assisted teaching tailored to individuals. Regarding ethical concerns, Nigel argues biases come from flawed data rather than being inherent to AI systems. Still, developers must pledge transparency while testing for unfair impacts on diverse groups. With sensible safeguards, AI can augment human intelligence to solve previously intractable problems. The technology itself is neither good nor bad; it merely amplifies our own goals and values.

Here are six key topics from the interview 
Graphcore's AI chips
  Enable more parallel processing like the human brain
  Optimized to accelerate neural networks for complex AI workloads
  Provide an alternative to Nvidia for AI compute in data centers
Comparing AI and human cognition
  Many subconscious brain skills remain beyond AI systems currently
  Things easy for people often prove difficult computationally
  Future computing may better approximate biological infrastructure
AI adoption in China
  Leading aggressive deployment of AI across many sectors
  Rapid integration into education at early ages
  Authoritarian system enables swift data collection and trials
AI's economic impact
  Potential to augment productivity on par with industrial revolution
  Requires rethinking of education models and job training
  Risk of automating certain jobs must be mitigated
Ethics of AI systems
  Biases originate from flawed training data rather than inherently
  Guidelines needed to ensure transparency and test for harm
  Clearly unethical applications should be banned
Hardware progress enabling AI
  Exponential improvements in semiconductors underlying gains
  Future quantum and molecular computing shifts possible
  Enormous data digitization also crucial for progress

 To book a meeting to discuss AI and other business change with Andrew - https://calendly.com/andrew-gaule/30min?

Andrew Gaule (linkedin.com/in/andrew-gaule-aimava) discusses with Simon Portman (https://www.linkedin.com/in/simon-portman-0b918014/), commercial lawyer at Marks and Clerk, explores key legal issues surrounding artificial intelligence. As AI capabilities rapidly advance, companies developing and utilizing these technologies face complex challenges around copyright, ownership, liability, and emerging regulation. See the overview below. 

To book a meeting to discuss AI and other business change with Andrew - https://calendly.com/andrew-gaule/30min?

The discussion examines recent high-profile copyright lawsuits against AI firms related to training machine learning models. While outcomes remain unresolved, Portman expects some form of licensing models to emerge. On output generated by AI systems, current legal consensus necessitates human creativity for IP protections. However, proving human authorship could grow increasingly difficult.
Shifting to AI regulation, while frameworks vary across regions, most balance protecting the public with encouraging innovation. However, Portman notes enforcement lags capability evolution. Meanwhile from a business standpoint, Gaule emphasizes focusing less on AI risks, and more on the promise of transformations to value chains across many industries. Though acknowledging some job losses, historical precedents suggest new opportunities will emerge.

For a book on corporate innovation and venturing see "Purpose to Performance - Innovative New Value Chains" by Andrew Gaule. ( shorturl.at/dfDTW )
You can listen to this interview as a podcast on Gaule's Question Time on Apple, Spotify, Google and many other podcast channels. https://www.podomatic.com/podcasts/gaulesqt
Subscribe for future interviews. 
See this and other video content at Aimava Purpose to Performance Channel - https://www.youtube.com/channel/UCV9o-htFNIk9Yt7jp2XcdWw

Key topics and main points under each:
AI Copyright Lawsuits
- Major media and artists suing AI firms for infringement related to training ML models
- Outcomes remain legally untested - cases proceeding in courts
- Expect licensing models to compensate copyright owners to emerge
AI-Generated IP Protections
- Require human creativity under current laws
- Humans increasingly claiming false authorship of AI output
- Commercial viability remains even without formal protections
EU AI Act
- Most aggressive regulations globally so far
- Industry pushback - could stifle innovation and discourage companies
- Adds substantial compliance burden especially on smaller firms
UK AI Regulation Approach
- Aims to balance risks with enabling innovation
- Avoid prescriptive rules, but acting sometime necessary
- Sensible to allocate oversight across sectors
US AI Executive Order
- Seeks to balance privacy/security and competition
- Benchmark that other countries will follow
- Signals aim to lead in AI commercially
Global AI Governance
- One harmonized set of AI rules unlikely
- Fragmentation across regions inevitable as with data privacy
- All trying to balance similar priorities differently
Regulation Lagging Capability Evolution
- Exponential progress makes laws drafted today obsolete soon
- Enforcement also difficult once deployed at scale
- Hard to put "genie back in the bottle"
Risks Overstated
- More pragmatic take versus AI catastrophes
- Changes likely mundane - similar past technology revolutions
- Focus on transformations to business processes/value chains
Job Losses Overstated
- Difference is white collar roles  impacted
- Expect adaptation versus mass  unemployment
Legal Industry Adoption
- Historically slow to adopt
- Focus on higher judgement tasks vs mundane

To book a meeting to discuss AI and other business change with Andrew - https://calendly.com/andrew-gaule/30min?

Andrew Gaule (linkedin.com/in/andrew-gaule-aimava), had the pleasure of speaking with Udai Dhamija and Jenni Morris about the fantastic Oxbridge AI Challenge. Their unified effort across Cambridge and Oxford Universities delivered over 80 AI startup applicants who benefited tremendously from pitch feedback and mentorship. 
The competition was supported by some big players including, Digital Realty, Microsoft, Taylor Wessing LLP, The Alan Turing Foundation, Marcho Partners, Keltie LLP, and JP Morgan.
See more details below. 

To book a meeting with Andrew - https://calendly.com/andrew-gaule/30min?

For a book on corporate innovation and venturing see "Purpose to Performance - Innovative New Value Chains" by Andrew Gaule. ( shorturl.at/dfDTW )
You can listen to this interview as a podcast on Gaule's Question Time on Apple, Spotify, Google and many other podcast channels. https://www.podomatic.com/podcasts/gaulesqt
Subscribe for future interviews. 
See this and other video content at Aimava Purpose to Performance Channel - https://www.youtube.com/channel/UCV9o-htFNIk9Yt7jp2XcdWw

Key Topics:
Organizing the Oxbridge AI Challenge
- Unified committee across societies
- Fundraising and applicant recruitment
- Multi-round pitching and mentoring
AI Challenge Finals Event
- Top 10 startup pitches
- Judging panel and selection criteria
- Networking and awards celebration

Oxbridge AI Finalists 2023
Ignota Labs - applying AI to identify and turn around distressed pharmaceutical assets 
Adalat AI - next-gen AI transcription for deployment across legal Court system
Regfyl - AI platform to simplify financial compliance in Africa
Agrilinks - AI platform for data-driven lending to farmers across Africa
JRE Group - AI powered tools to control manufacturing in heavy industries
Canopy AI - AI ultra-realistic human-like agents for interviews
Biterite, AI concierge to recommend restaurants for those with dietary restrictions
Letera - AI powered language learning platform
innex.ai - AI co-pilot for facilities management in hospitals and other settings

Perspectives on AI’s Impact
- Startup integration across sectors
- Exceeds internet transformation
- Broadened access to education
Looking Ahead
- Plans to build on AI challenge
- Continued campus entrepreneur support

In this interview, serial entrepreneur Neil Wainwright (https://www.linkedin.com/in/neilwainwright?) shares insights on startup website design and customer acquisition from his over 30 years of experience. Speaking with Andrew Gaule (linkedin.com/in/andrew-gaule-aimava), who Neil knows from mentoring startups at the Creative Destruction Lab, Neil explains his methodology for critiquing and reworking venture websites to create compelling headlines, sub-headlines and calls-to-action that speak directly to the ideal customer.
Neil stresses the importance for startups to focus on customers and revenue over chasing investors. He provides examples of using integrated calendars on websites to enable prospective customers to easily self-schedule product demos, greatly increasing sales pipeline velocity. The conversation explores several impactful anecdotes where Neil's website advice has accelerated real startup customer traction. His emphasis is on empowering ventures to shape effective narratives that drive customer conversion.
See below for more detail of the topics discussed. 

To book a meeting with Andrew - https://calendly.com/andrew-gaule/30min?

For a book on corporate innovation and venturing see "Purpose to Performance - Innovative New Value Chains" by Andrew Gaule. ( shorturl.at/dfDTW )
You can listen to this interview as a podcast on Gaule's Question Time on Apple, Spotify, Google and many other podcast channels. https://www.podomatic.com/podcasts/gaulesqt
Subscribe for future interviews. 
See this and other video content at Aimava Purpose to Performance Channel - https://www.youtube.com/channel/UCV9o-htFNIk9Yt7jp2XcdWw

Key Topics with Main Points :
Crafting Compelling Website Messaging
  Lead with emotional, curiosity-building headlines
  Explain offering clearly in subheads using plain language
  Spotlight target customer and value proposition
  Align messaging across all assets and touch points
Converting Visitors to Meetings
  Prominently display calendar booking
  Auto-coordinate details and surface availability
  Enable frictionless user experience
  Funnel qualified, demo-ready leads
Focusing on Custom Revenue
  Revenue attracts investors more than pitches
  Get to profitability and control your destiny
  Retain equity by bootstrapping over funding
  Build valuation through recurring sales
Streamlining Sales Processes
  Integrate calendar with CRM platforms
  Track customer lifecycle in one system
  Enable transparency between revenue teams
  Optimize staffing to demand response
Adopting Customer Perspectives
  Step back and see website with fresh eyes
  Evaluate if unique value clearly communicated
  Assess emotional impact and call-to-action
  Empathize and adapt to buyer needs

This interview between Andrew Gaule (linkedin.com/in/andrew-gaule-aimava) of Aimava and Richard Kestenbaum (https://www.linkedin.com/in/rkestenbaum/) of Triangle Capital covers insights on preparing startups for successful exits and liquidity events through M&A. They discuss how founders should focus on building profitable, high-growth businesses ready for acquisition, rather than purely pursuing valuation and fundraising. Kestenbaum emphasizes focusing on the fundamentals of running a strong business. They also explore the potential impacts of AI on industries like retail, predicting it will enable new business models we can't yet envision. Kestenbaum shares his perspective on navigating innovation in retail, noting cultural resistance and the challenges of implementing new technologies. Overall, he provides valuable advice for startups on positioning themselves for successful acquisitions by focusing on sustainable, long-term fundamentals rather than short-term goals. See Key Topics below. 

For a book on corporate innovation and venturing see "Purpose to Performance - Innovative New Value Chains" by Andrew Gaule. ( shorturl.at/dfDTW ) - Includes a chapter on China from the years of travelling in China and taking leading corporates. 
You can listen to this interview as a podcast on Gaule's Question Time on Apple, Spotify, Google and many other podcast channels. https://www.podomatic.com/podcasts/gaulesqt
Subscribe for future interviews. 
See this and other video content at Aimava Purpose to Performance Channel - https://www.youtube.com/channel/UCV9o-htFNIk9Yt7jp2XcdWw

5 Key Topics:
 Preparing for Exits and Liquidity Events
- Focus on long-term fundamentals and profitability
- Don't get distracted prematurely planning exits
- Build a business ready for acquisition
 The Future Impact of AI
- We're only at the very beginning of AI's potential
- AI will enable innovations we can't yet foresee
- Will transform industries like retail, finance, law, etc.
 Challenges for Retail Startups
- Overcoming organizational resistance to change
- Developing both tech and marketing capabilities
Blending Online and Offline Retail
- Each channel has unique strengths
- Integration is complex and will take time
- Focus on choosing strategic areas for tech
The State of Physical Retail
- Need experience customers can't replicate online
- Implement tech for better data and service
- Omnichannel is key but difficult to achieve

Andrew Gaule (linkedin.com/in/andrew-gaule-aimava) discusses with Atchara Poomee of PAC (https://www.linkedin.com/in/atcharapoomee/). We discuss being an entrepreneur, what Purpose the business, Process of venture development, People important in business and life, Partners to drive change and Performance measures.  See further highlights below. 
Atchara and Andrew speak about the Royal Academy of Engineering Leaders in Innovation Fellowship. https://raeng.org.uk/lif 
For a book on corporate innovation and venturing see "Purpose to Performance - Innovative New Value Chains" by Andrew Gaule. ( shorturl.at/dfDTW ) - Includes a chapter on China from the years of travelling in China and taking leading corporates. 
You can listen to this interview as a podcast on Gaule's Question Time on Apple, Spotify, Google and many other podcast channels. https://www.podomatic.com/podcasts/gaulesqt
Subscribe for future interviews. 
See this and other video content at Aimava Purpose to Performance Channel - https://www.youtube.com/channel/UCV9o-htFNIk9Yt7jp2XcdWw

Atchara Poomee is the CEO and founder of PAC, a company focused on energy efficiency, heating, cooling and reducing environmental impact. Her company installs products like heat pumps, heat recovery systems, solar air conditioning, etc.
The idea for the business came when Atchara joined her family's air conditioning business and realized they could innovate to utilize waste heat and reduce energy consumption.
The company started small with around 5-10 employees but has now grown to around 70 people across two offices. They have engineering, R&D, sales/marketing and back office teams.
Atchara emphasized the importance of partnerships - with government, innovators, investors, customers, suppliers etc. She aims to prove her venture's worth so partners will support her, and then give back to them when she can.
Key performance metrics are revenue, profit, energy savings/carbon reduction. Goals for last year were $3 million revenue, 10% profit, 10 tonnes carbon reduction, 19 kW energy savings.
Atchara credits her supportive family for helping balance her roles as CEO, wife, mother, daughter. They see the impact she makes through the business and support her venturing.
Andrew highlighted Atchara as an inspiring leader and catalyst, contributing to the climate and startup ecosystem.

Andrew Gaule (linkedin.com/in/andrew-gaule-aimava) discusses with John Spindler, AI and Tech Investor, founder of Twin Path fund. See below for the key topics.
Book a meeting to discuss how we can help.  https://calendly.com/andrew-gaule/15min

To join an AI and other programmes see Aimava Eventbrite - https://www.eventbrite.co.uk/o/aimava-global-advisory-firm-11938296163

For a book on corporate innovation and venturing see "Purpose to Performance - Innovative New Value Chains" by Andrew Gaule. ( shorturl.at/dfDTW )
You can listen to this interview as a podcast on Gaule's Question Time on Apple, Spotify, Google and many other podcast channels. https://www.podomatic.com/podcasts/gaulesqt
Subscribe for future interviews. 
See this and other video content at Aimava Purpose to Performance Channel - https://www.youtube.com/channel/UCV9o-htFNIk9Yt7jp2XcdWw

Key Topics:
Evolution of AI landscape
- Scepticism around deep learning in 2015
- Current "gold rush" around large language models
Investment approach
- Applied AI solving business problems
- Frontier AI pushing limits
- AI "copilots" augmenting human capabilities
AI adoption challenges
- Interest vs reality of corporate spending
- Moving from heuristics to model-based thinking
Professional services disruption
- AI unlikely to fully displace consultants/lawyers etc
- Will rather superpower them to work faster/cheaper
The future of AI
- Exciting but unpredictable times ahead
- Winners will be those who adapt quickly

Andrew Gaule (linkedin.com/in/andrew-gaule-aimava) discusses with Alan Gormley, founder of Shopbox AI the application Artificial Intelligence (AI) in retail, the growth of his venture and changing business models. See further details and summary below. 

For a book on corporate innovation and venturing see "Purpose to Performance - Innovative New Value Chains" by Andrew Gaule. ( shorturl.at/dfDTW )
You can listen to this interview as a podcast on Gaule's Question Time on Apple, Spotify, Google and many other podcast channels. https://www.podomatic.com/podcasts/gaulesqt
Subscribe for future interviews. 
See this and other video content at Aimava Purpose to Performance Channel - https://www.youtube.com/channel/UCV9o-htFNIk9Yt7jp2XcdWw

This interview provides an overview of Shopbox AI, a startup using AI to transform the retail experience by creating personalized stores tailored to each customer. CEO and founder Alan Gormley discusses Shopbox's founding, approach to AI, and journey over the past 3 years. Key topics include the importance of putting the customer first rather than pushing products, validated learning through early customer pilots, and the value of vertical AI depth versus horizontal breadth. The interview explores both the business and technical considerations in building retail AI.

Key Topics:
AI in retail
Main points: Huge opportunity to improve customer experience, but most retailers using simple recommendations focused on driving product. Shopbox aims to build personalized store tailored to each customer by truly listening.

Validated learning
Main points: Shopbox learned through early customer pilots, interviews, and feedback. Critical to experiment, try things, and prove what works rather than building in silo then releasing.

Automation
Main points: Key focus on fully automating Shopbox functionality so retailers don't have to change processes. Allows scaling up and down market. Critical for adoption.

Customer-first
Main points: Shopbox success dependent on putting customer at center and listening, not pushing products. Build for them, not merchandisers.

AI depth vs. breadth
Main points: Shopbox AI very deep in retail but focused only on that vertical. Avoid temptation to expand into other industries or build horizontal capability.

Team structure
Main points: Balanced business and technical team. AI as separate function to drive creativity. Avoid "hammer searching for nails" problem.

Learning from customers
Main points: Each customer provides learning to improve offering. Primary way to learn vs conferences/research.

Funding
Main points: Private investors, some from retail. Also funded by Enterprise Ireland. Valuable to have mix of financial and industry experience.

Metrics
Main points: Business growth, revenue, conversion, AOV key metrics. But degree of automation just as critical to measure.

Change management
Main points: Automated solutions critical so retailers don't have to change processes. Allows both scaling up and down market.