For those that feel that we should be putting more attention toward AI that helps humanity, look no further. Dr Zain Khalpey is one of the best cardiac surgeons on the planet, and yet is restlessly looking at innovative ways to improve patient care.

We have split this into two episodes. The summary is across both episodes:

Dr. Zain Khalpey discusses the integration of AI and machine learning in cardiac surgery and the potential for reducing medical errors and improving patient outcomes. He emphasizes the importance of cross-pollination and continuous improvement in the field of medicine.

Dr. Khalpey shares his vision for an AI-driven healthcare ecosystem and highlights the need for collaboration between clinicians and data scientists. He also discusses the practical applications of AI in surgery, such as improving communication and decision-making within the surgical team. In this part of the conversation, Dr. Zain Khalpey discusses the use of AI in heart surgery and the development of the Kai AI algorithm. He also talks about the importance of wearables and heart rate variability in monitoring and predicting health conditions.

Dr. Khalpey addresses concerns about insurance companies using data for predictive analysis and denying coverage based on genetic predispositions. He emphasizes the need for responsible and ethical use of AI in healthcare and the importance of transparency and governance.

• AI and machine learning have the potential to reduce medical errors and improve patient outcomes in cardiac surgery.
• Cross-pollination and continuous improvement are essential in the field of medicine.
• Collaboration between clinicians and data scientists is crucial for the successful integration of AI in healthcare.
• Practical applications of AI in surgery include improving communication and decision-making within the surgical team. AI is being used in heart surgery to improve decision-making and patient outcomes.
• Wearables, such as the Ura Ring, have the potential to provide valuable health data, but their accuracy and trustworthiness need to be validated.
• Insurance companies may use AI and genetic data to deny coverage, highlighting the need for regulations and provisions to protect individuals.
• The responsible and ethical use of AI in healthcare is crucial, and transparency and governance are essential for building trust.
• Collaboration and communication between different stakeholders, including clinicians, data scientists, and patients, are necessary for successful AI implementation in healthcare. Dr. Khalpey's humility and dedication to his patients are inspiring
• Technology can be used for good to improve people's lives
• Prioritizing work-life balance is essential for personal well-being

This episode delves into the pivotal role of "Data as a Product in the Age of AI," the importance of cross functional silo-busting and invaluable food for thought with a power-packed panel including :

• Randy Bean, the Godfather of CDAOs, a global authority on data analytics and author of “Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI”
• Michelle Finneran Dennedy, the OG Chief Privacy Officer at McAfee, Intel and Cisco, author of “The Privacy Engineer's Manifesto” now leading the charge at PrivacyCode
• Yassir Abousselham, whose CISO expertise spans Google, Okta, Splunk, UiPath and now advisors global CISOs worldwide in his latest venture, Silicon Valley Cyber
• Hosted by Carrie Mott, MD of Flywheel Marketing and SaaS Marketing Expert

Key topics include:

• Crafting smart data governance and privacy frameworks to fuel AI innovation while keeping data management robust.
• Embracing the AI Upskill movement, as a staggering 61% of workers are now wielding AI in their daily tasks, yet a mere 46% of top companies have established a solid data culture.
• Unpacking the strategic rise of CAIOs within data-centric organizations and their role in steering organisations through both the risks and opportunities of an AI Era.
• The responsibility and proficiency of Board and C-Suite members in providing oversight to data pipelines and the AI lifecycle within their businesses.
• The role of data hygiene, centralization, and provenance in enhancing collaborative data quality and management, especially given that only 37% of quality improvement initiatives are successful.
• What’s keeping CISOs up at night? Including data and model poisoning and AI-enhanced cyber threats.
• How do we mitigate the impact of AI-generated misinformation and deepfakes as the world braces for a year of elections involving nearly half its population?
• And crucially, how to foster cross-departmental synergy to harness the competitive edge AI offers.

This panel isn't just a conversation—it's a strategic playbook for cross functional leaders to leverage data effectively in the dawn of AI, ensuring readiness for the monumental shifts ahead. Engage with these thought leaders as they chart a course for thriving in a world where data isn't just an asset; it's the currency of innovation.

Anders and Dave explore the impact of AI on various industries and the future of work. We discusse the potential for AI to significantly increase productivity and questions the need for more humans in organizations. The conversation also delves into the disruption of mundane tasks and the role of AI in fields like accounting and law. It explores the balance between AI and human creativity, emphasizing the value of human input and the potential for AI to enhance human creativity. The conversation concludes with a discussion on the challenges and opportunities of AI, including ethical considerations and the future of humanity.

Takeaways

• AI has the potential to significantly increase productivity, with some estimates suggesting a 4X to 10X increase in knowledge workers' productivity.
• The rise of AI raises questions about the need for more humans in organizations if every human becomes 10X as productive.
• AI is disrupting mundane tasks in fields like accounting and law, potentially replacing the need for human involvement in these areas.
• While AI can generate content and artwork, there is still value in human creativity and the unique perspectives and emotions it brings.
• The future of AI raises ethical considerations and the need for responsible development and implementation to ensure the well-being of humanity.

Sound Bites

• "Do we really need more humans in our organization if every human is 10X as productive every day?"
• "Take the robot out of the human so that humans can do more meaningful work."
• "AI will kill the mediocre."

Summary

In this episode, the hosts are joined by Nick King, the founder of Data Kinetic, to discuss the role of AI in healthcare. Nick shares his experience of observing open heart surgery and highlights the complexity of the surgical process. They explore the importance of data in healthcare and the challenges of managing medical records. The conversation also touches on the privacy of healthcare data and the need for responsible AI models. They discuss the potential of AI to improve healthcare outcomes and reduce costs. The episode concludes with a focus on the growing interest in personal health and wellness. In this conversation, Nick King discusses the potential of AI in healthcare, personalized medicine, and climate transformation. The discussion touches on the challenges of food and health, the need for personalized healthcare, and the ethical concerns surrounding genetic testing and insurance coverage. Nick also explains Data Kinetic's approach to AI, which involves building specialized agents and models to address complex problems. The conversation concludes with a reflection on the impact of AI on our lives and the importance of conscious understanding and control.

Takeaways

• Observing open heart surgery provides insights into the complexity of the surgical process and the importance of data in healthcare.
• The privacy of healthcare data is crucial, and individuals should have the right to choose what happens with their data.
• AI has the potential to improve healthcare outcomes by analyzing data and predicting health risks.
• The business model for AI in healthcare involves solving specific problems and collaborating with healthcare providers.
• There is a growing interest in personal health and wellness, with individuals taking more responsibility for their own health. The biggest challenge in maintaining health and losing weight is food and nutrition.
• AI has the potential to personalize healthcare and predict future health conditions based on genetic makeup.
• Ethical concerns arise regarding the use of AI in insurance coverage and the potential for discrimination based on genetic information.
• Data Kinetic's approach to AI involves building specialized agents and models to address complex problems in healthcare, energy, and climate transformation.

Sound Bites

Chapters

00:00

Introduction and Background

01:02

Personal Updates

01:22

Observing Open Heart Surgery

04:04

The Role of Data in Healthcare

06:21

Assessing Data Points for Predictive Analysis

07:43

The Complexity of Medical Records

08:01

The Importance of Data Privacy

10:49

The Role of AI in Healthcare

12:05

The Vision for AI in Medicine

13:36

The Business Model for AI in Healthcare

20:37

Innovation and Adoption of AI in Healthcare

25:53

Improving Healthcare Accessibility and Affordability

28:15

The Cost of Healthcare and Personal Responsibility

31:15

Growing Interest in Personal Health and Wellness

31:32

The Challenge of Food and Health

32:55

Personalized Healthcare and Genetic Testing

35:19

Ethical Concerns and Insurance Coverage

38:23

Data Kinetic's Approach to AI

43:30

Applying AI in Healthcare, Energy, and Climate Transformation

53:10

The Impact of AI on Our Lives

We are increasingly addicted to Mobile Devices and the Data.AI State of Mobile 2024 shows some pretty interesting research into our addictions.

Takeaways

• App downloads were up 1%, to 257 Billion. That’s 489,000 apps downloaded per minute.
• Consumer spending hit a new high at $171 billion (+3% YoY) following a 2% YoY dip in 2022. That’s $325,000 per minute.
• On average we are spending 5 hours per day, per user in mobile apps. That’s up 6% and it equates to ⅓ of our daily awake hours.
• So with everyone spending more time in apps, it makes sense that mobile ad spend is up 8% to $362 Billion!
• 11.1% increase in app spend to $64B

Interesting Outtakes

• Ellie had a Blackberry at University :)
• Truth Social, a social media app owned by Donald Trump, gained popularity quickly.
• Mobile ads are increasingly focused on video content.
• Consumers are more willing to pay for apps due to improved quality and experiences.
• Government-sponsored concerts have seen increased demand.
• Caution should be exercised when consuming information from certain apps.

In this episode, Dave and Ellie discuss the use of AI in businesses, focusing on Twilio's growth report. They highlight the high adoption rate of AI, the potential for customization and personalization, and the importance of ROI and experimentation. They also touch on concerns about data privacy and the impact of AI on the creative industry. The episode concludes with a discussion on re-skilling and job security in the face of advancing technology.

Takeaways

• AI adoption in businesses is high, with 88% of organizations using some form of AI.
• Customizing AI for personalized experiences, such as automated email sends and highly personalized offers, can enhance customer journeys.
• ROI and uncertainty around AI remain key concerns for businesses, but small successes and value demonstrations can help maintain momentum.
• Experimentation and training are crucial for organizations to fully leverage AI's potential.
• AI has the potential to support and enhance creativity in industries like marketing and design
• Re-skilling and adapting to new technologies is essential for job security in industries where automation is prevalent.

Chapters

00:00 Introduction and Name Change

01:04 Introducing AI and Twilio's Growth Report

04:12 Customizing AI for Personalized Experiences

05:05 ROI and Uncertainty with AI

06:53 Experimentation and Training with AI

08:17 AI in the Creative Industry

09:17 Re-skilling and Job Security

The 2024 Contentsquare Digital Benchmarks Report offers a comprehensive analysis of the evolving digital landscape, providing invaluable insights for businesses aiming to navigate the complexities of online engagement and consumer behavior. Thousands of websites across a wide array of industries, highlighting key trends, performance metrics, and best practices that are shaping the future of digital experiences.

As the digital realm becomes increasingly competitive, the insights provided in this report are essential for any organization looking to leverage data-driven strategies to achieve a competitive edge in 2024.

The big stats in this years Digital Benchmarks Report, that we extracted were:

• 60% of brands saw a reduction in traffic which also came a higher cost.
• Last year was a 1/3 frustration metric for users, this year it’s 2/5. So there is a big gap to be closed between what users expect and what they are being delivered.
• Overall conversions are down by 5.5% which is not great, considering the traffic volumes are also down.
• Lastly the biggest takeaway is how far off mobile traffic is from web traffic. At nearly 60% brands needs to think and act mobile first.

This is our take on the the report.

In our first summary episode for the series, let's take a look at an awesome report from Accenture, the "Pulse of Change Report 2024".

My tope 3 highlights:

1) 88% of execs feel that 2024 will have a higher rate of change

2) Technology and AI are the single biggest driver of change

3) 52% of execs fear their organisation is not ready to adapt

To download the full report head over to the Accenture Website: