Archive for the ‘VIP’ Category

Automation Use Cases

October 8, 2021

FountainBlue’s October 8 VIP Roundtable was on the topic of ‘Automation Use Cases’, with opening remarks by Automation Anywhere. We had a diverse entrepreneurial group of executives who had a wide range of perspectives and experience around automation use cases.

We agreed that automation makes it possible to deliver exceptional, high-quality technical hardware and software solutions more efficiently. It will become as pervasive and prominent as spell-checkers, something that will be ever-present and understood. The question just becomes ‘who will implement which automation use case in what way(s) which drive what results around efficiency and excellence’.

Automation Process Improvement (API) continues to provide prominent use cases as it makes sense to automate the repetitive, redundant, tasks to software bots (‘software elves’) and robots who can more efficiently and accurately perform these tasks. 

  • Although this doesn’t mean that humans will no longer be needed, it does mean that humans should get trained and experienced in tasks which aren’t as easily automated.
  • Some tasks are attended, and some unattended. Each task is managed by humans, providing reports on their work to humans. 
  • It also means that there’s a huge opportunity to delegate tasks which are redundant, hazardous or impractical to robots and software. 

Below are some thoughts on how to manage automation use cases:

  • If the bot or robot does the ‘wrong’, the program must be fixed so that the processes, the actions, the rules, must be changed so that they do the ‘right’ thing. 
  • Managers should learn about what the best workers are doing right, so that others can learn how to do work as efficiently and accurately. If it’s repetitive and redundant enough, the work might even be delegated to a bot or a robot.
  • Automation can be used to quickly identify and even filter out anomalies – products or solutions which do not fit the defined requirements. 

Below are some thoughts on some huge opportunities ahead:

  • From senior care to end-of-life care, automation in the healthcare space can ensure that regular procedures are performed to ensure a good patient experience.
  • Separately, there’s an opportunity for patients to more regularly and deeply connected with loved ones, even if it’s through online means.
  • Automation of robots and bots are currently successfully making 3D-printed robots to do specific things cheaper, faster, leaner.
  • Manufacturing centers may become smaller as the bulk of the product might be produced through automation, leaving the personalization/customization options for more specialized workers to do higher-end tasks.
  • AI is helping companies to more quickly understand the needs of the customer, and more quickly connecting customers to the support they need. 
  • Software and hardware product testing will continue to be largely automated. 

Then the conversation turned more serious. What are the ethical standards around automation? Will humans be replaced by robots? No is the resounding response. 

  • However, workers who have traditionally done the labor-intensive, low-skill, redundant work need to be skilled and trained enough to do work which can’t as easily be automated.

Humans will always be needed to 1) come up with original solutions, 2) represent multiple groups and individuals, 3) connect the dots in creative, original ways which aren’t necessarily based on logic and 4) be the ‘fall guy’, the responsible party should things go south.! See FountainBlue blog ‘Being Human in an Age That’s Digital’ https://fountainblue.blog/2016/07/12/being-human-in-an-age-thats-digital/

The bottom line is that automation will become ever more prominent, for it helps us all to more efficiently and effectively manage people, processes and products.

Power Optimization

September 10, 2021

FountainBlue’s September 10 VIP Roundtable was on the topic of ‘Power Optimization’, with opening remarks by PG&E.

We were fortunate to have a wide range of executives speaking on the challenges and opportunities around power optimization. It’s clear that our appetite for energy will continue to rise, and it’s clear that the infrastructure needs to be updated and upgraded in order to ensure access to reliable quantities of energy, preferably through sources which are renewable and less impactful for the environment.

Whether you’re looking at the energy challenge from the consumer or from the enterprise lens, there are technology, policy, and adoption challenges and opportunities around decarbonization, digitization and decentralization. There were many more questions than answers in this month’s conversation. Below are some of these key questions.


Decarbonization Challenges and Opportunities

  • What can we as consumers and as business leaders do day to day to manage our consumption, diversify our energy generation strategies, store and distribute energy, and keep energy levels reliable, safe and cost-effective, all while adopting sustainability-based business practices which decelerate climate change and support the earth?
  • What are the policy, technology, and infrastructure choices we need to make renewables options more attractive, more reliable, more efficient?
  • How can we better ‘educate’ decision-makers on the impact and ripple effect of their ongoing energy choices?

Digitization Challenges and Opportunities

  • How can we better optimize energy usage so it impacts our bottom line as well as our sustainability goals?
  • What can we do to facilitate adoption of the digital solutions which would help automate software and/or motivate adoption?
  • How can we progress from leveraging Artificial Intelligence models and its ability to understand historical patterns of energy usage to Machine Learning models which might factor in circumstances which have not occurred historically?
  • How would access to the wholesale energy costs impact the day-to-day energy decisions of energy consumers?

Decentralization Challenges and Opportunities

  • What policy, technology, and process changes need to happen to grow and maintain the core centralized network, which is essential even as we decentralize?
  • How can we better manage the growing base of energy-generators so that we can optimally store and fairly and efficiently distribute that energy?
  • How can we proactively predict and manage downtime and failures given the distributed nature of the energy generation system, and the structure and requirements of the grid? 
  • How can we better design and architect hardware solutions for chips and devices which optimize energy usage? 

The bottom line is that there will be more people, and there will be more people using more technology needing more energy. The choices we make around how we generate and use energy will impact our future and our earth. Nobody has all the answers. And nobody can do it alone. But if we focus on the real data and the real challenges, perhaps together we can make progress on this increasingly important challenge and make it into an opportunity to better support ourselves and our earth.

Next Generation Wireless

August 13, 2021

Next Generation Wireless

FountainBlue’s August 13 VIP Roundtable was on the topic of ‘Next Generation Wireless’, with our hosts at Samsung. Although our executives in attendance represented a wide range of roles, organizations and industries, they all agreed that impressive developments in wireless technology and in infrastructure have helped the digital-philic consumers and businesses connect with each other and provide contact-free services. Indeed, without meeting tools like Zoom and delivery options for staples and meals, the pandemic would have made day-to-day life much more difficult.


Below is advice on growing the wireless market.

  • Focus on the problems affecting niche industries including education, healthcare, transportation, automotive.
  • Create the stable technologies and infrastructures and solutions that are foundational to successful implementation, and partner with trusted others to collaboratively address industry challenges.

Below are thoughts on upcoming wireless innovations.

  • Immersive experiences will be the next generation of wireless. These experiences will leverage technology so that the experience is more three-dimensional, simulating real-life. 
  • Sensors will become smaller, less power-consuming, more powerful, and more versatile at the same time. The challenge becomes how to integrate this plethora of sophisticated devices to manage/optimize functionality while protecting privacy, security and access.
  • Hardware innovations around consumer electronics will continue to ensure that users get access to more sophisticated solutions on their phones. 
  • Power innovation and optimization will be a key to drive wireless innovation.

But challenges remain.

  • How do we help ensure that we can all benefit from technology, bridging the divide between the haves and have-nots?
  • How do we increase compute and communication across private and public sectors, delivering a breadth of customized, scalable services when it’s difficult to envision the evolving needs of the customer?
  • How do we securely connect and fuel the devices on the edge and connect them with other devices and solutions so that people and things can respond real-time, especially when lives (and revenues) are at stake?

The bottom line is that convergence is happening – across technologies, across industries, across companies, across markets. The pandemic has amplified the speed of these convergences. Successful companies and leaders are providing the technology, connectivity, infrastructure and platform so that we can create customized programmable solutions which will enable and empower the way we live and work.

What’s Next in Hardware

July 16, 2021

What’s Next in Hardware

FountainBlue’s July 16 VIP Roundtable was on the topic of ‘What’s Next in Hardware’, with our hosts at Renesas. Although our executives in attendance represented a wide range of roles, organizations and industries, they all agreed on the following:

  • Hardware innovation has been accelerating as the pendulum swings back to the need for hardware to support the rampant innovations on the software side.
  • Use cases abound for both enterprises and for consumers. The trick is to drill down on a particular use case and address a problem which the market would fund.
  • The form factor must be smaller, while the functionality must be broader and more versatile. 
  • Digital, analog and power solutions will be integrated and optimized as we continue to innovate.

A key to effective hardware innovation is balancing privacy, security and access. Just as it’s impractical to design a house without windows or doors, we can’t design solutions which are absolutely secure with the utmost protections of our privacy while providing optimized access only to the approved parties all the time, every time.
Another key is the need to focus on real problems which need to be addressed, particularly when decisions need to be made quickly, when lives are at stake. Whether we quickly get more hardware at the edge, integrating with more distributed cloud solutions, or whether we leverage hardware to be more efficient and effective at work, more immersed and involved in life, the truth is that hardware innovations in the next few years will continue to be revolutionary and transformational.
Below are some highlighted opportunities for hardware innovation mentioned by our executives in attendance.
Edge Computing

  • Optimizing hardware solutions on the edge so that processing is more efficient and effective;
  • Designing wireless solutions which provide faster end points;
  • Providing drones to collect data such as gas leaks; 

Energy Management

  • Proactively managing energy efficiency and renewables at data centers and complex end points;
  • Providing low-power, hardware-driven connectivity for enterprise and consumer usage;

Sensing

  • Leveraging hardware to sense everything from light to heat to sound;
  • Designing augmented reality solutions for enterprise and consumer usage;
  • Replicating human senses such as smell and taste;

Integration Challenges and Opportunities

  • Reducing the weight and size of hardware, so that it can be more easily integrated into solutions;
  • Utilizing AI and ML to optimize custom hardware design so we can optimize durability, usefulness and manage risk and wear and tear; 
  • Replacing human functions with hardware and prosthetics;
  • Supporting the growth of the equipment-to-equipment, equipment-to-cell-tower 5G network; 
  • Stretching the capacity in memory so that we can process more information more efficiently; 
  • Offering Confidential computing solutions, embracing hardware as part of the security strategy.

The bottom line is that hardware innovation is a work in progress, with much at stake, as hardware continues to make software smarter. And it’s not just about the technology, just the hardware and software. It’s also about collaborations across organizations and policies and compliance requirements.Although the conversation this morning was eerily futuristic, it was also at the same time utterly real, and absolutely practical and prophetic, exciting and daunting at the same time. 

The Future of Work

June 11, 2021

FountainBlue’s June 11 VIP Roundtable was on the topic of ‘The Future of Work’, with our hosts at CITRIX. As usual, our participating executives represented a wide breadth of backgrounds and perspectives. We are all in agreement on the following:

The future of work was very much impacted by the pandemic for all participating executives, and everyone is scrambling to plan-fully and proactively address the current, projected and future needs of our workers, partners and customers. We don’t know what the future will hold, but we do know that leadership and communication will help us collaboratively design solutions which benefit all, and that iterating on the adopted strategies and plans will help us more progressively serve everyone.


Companies large and small of all ilks and industries have adopted the technologies, processes, support and resources to ensure that most of us are able to work harder and more productively now than ever – even though we are restricted from interactions and travel.We don’t know what the future will hold, but we do know that the productivity levels are not sustainable in the long term, as it will lead to burn-out and attrition.

  • We are all at various levels of returning to a hybrid form of work, and are all plan-fully considering who returns to the office and how the return will most productively benefit everyone.
    • We don’t know when and where this return will happen, but we do know that we need to proactively address, manage, and communicate the logistical, policy, infrastructure, safety, and other issues introduced by the return-to-work, and get buy-in and support for any return-to-work plan.
  • We all agreed that technology has been progressively and aggressively adopted to help us all work through the pandemic. But we also agree that no technology will ever replace the need for workers.
    • We know that we will always have both workers and technologies, but we aren’t sure how to best optimize each as we return to work. The plan will morph and flow over time as the technologies and the workers both become more integrated and more sophisticated.
  • We all agreed that this year-plus of working from home helped us all better connect with ourselves, our family, with nature, with our purpose. We all know that this will forever change the way we look at our work, and the choices and sacrifices we make for our work.
    • As leaders, we need to understand the motivations of our people, and ensure that we can speak to the purpose of why we do what we do, and how we add value to our team, our company, our customers, our future, our customers. 
  • We all experienced how the pandemic made us feel both so isolated and yet so commonly human. As we return to work, we are all strategizing on how we can feel more deeply connected with each other so that we can better serve each other. 
    • Work leaders need to facilitate that communication to drive that connection between team members and company leaders at all levels.
  • The topic of privacy, security and access was prominent prior to the pandemic, and will become even more as we return to that next normal. 
    • Proactively managing that balance as we enter the next normal will remain an ongoing challenge.


Below is advice on how we can better do any of the above.

  • Take advantage of opportunities to have serendipitous discussions with your team, your partners and your customers. Building deeper relationships beyond work will not only help you with your work, it will also help you be more happy, more human.
  • Look for opportunities to manage beyond the silos of groups, apps or organizations. There will be many bleed-overs of each as everything becomes more integrated, more complex.
  • Choose and adopt best practices for the good work you do. Celebrate victories and successes and learn from each.
  • Be proactively protective of your mental health, your personal time, and encourage your others to do the same.
  • Build ecosystems and relationships which will support you personally as you grow and develop.
  • Be flexible about what you expect and how you and others respond to what they experience.

The bottom line is that we can all see the opportunities in the challenges, be more confident despite the fear, when we look at the future of work, if we continue to focus on leadership and innovation goals.

AgTech and FoodTech Innovations

May 14, 2021

FountainBlue’s May 14 VIP Roundtable was on the topic of ‘AgTech and FoodTech Innovations’, with our hosts at Honda. As usual, our participating executives represented a wide breadth of backgrounds and perspectives. The biggest takeaways are around the range of innovations for agtech and foodtech. Technology is weaving its way into this slow-adopting industry.

  • Mobility and robotics solutions are doing everything from improving our supply chain to processing more efficiently, to managing the integrity of our production and manufacturing.
  • Planes and drones are collecting the images and other data we need to proactively manage the way we plant, produce, harvest, and distribute better quality crops and higher yields of crops.
  • AI and ML solutions are helping us optimize seeds, plants, crops as well as livestock.
  • Food science and agtech is helping develop quality protein from plants and even from microorganisms.
  • SaaS and digitalization solutions are helping manage things like crop health and food wastage – connecting a wide range of siloed stakeholders. 
  • End-to-end crop optimization solutions coupled with strategic partnerships in densely populated regions will help get quality food into the hands of hungry people in population-dense areas.
  • Food science solutions will help fortify the crops we produce, optimize seeds so that are more productive and nutritious, and help feed more people with fewer resources.
  • Proactively managing food production based on projected needs will help everyone across the ecosystem optimize distribution and minimize waste.
  • Understanding the taste and quality of a seed and a plant before it is reaped helps farmers plan their planting and pricing while helping markets influence availability based on preferences.

We have come a long way, but there are still innovation opportunities ahead. It’s clear that our executives in attendance will continue to excel at leveraging their diverse experience to transform industries, provide value, while collaborating to amplify impact.

Leading Industry 4.0

April 9, 2021

FountainBlue’s April 9 VIP Roundtable was on the topic of ‘Leading Industry 4.0’. As usual, our participating executives represented a wide breadth of backgrounds and perspectives. The conversation focused not just on the supply chain, process improvement, automation and robotics which are typical for Industry 4.0 discussion, but also focused on the data management and strategy around it.The first comments are of course about the increasingly larger volumes of data and the increased pressure to respond more quickly and more strategically based on that data. Below are some best practices on how to successfully manage that data.

  • Collect data for strategic reasons, focused around corporate goals, around customer current and anticipated needs, market trends.
  • Create and reinforce a culture where data share and best practice sharing is the norm, where everyone helps everyone else solve problems and make decisions.
  • Share your data and your learnings with other products, other divisions, other organizations, etc., but use your best judgment to ensure that you maintain a competitive advantage and are engaged in win-win collaborations.
  • Analyze the data anomalies as they may point to opportunities or current or pending challenges.
  • Move from Reactive to Proactive mode, going beyond generating and reporting on data, but looking beyond and beneath that to address questions such as
    • what are the data trends
    • what are the implications based on data
    • what are the underlying causes for the data
    • what kinds of decisions should we make based on data

Below are additional best practices for managing Industry 4.0.

  • Add value across the value chain within and across companies, products, roles and geographies. The more of the right partners and leaders participate, the more value for all. 
  • Focus on both the performance of the hardware/software/solution while also ensure that the user interface is intuitive and meets the preferences and needs of the targeted profile audience.
  • The more energy and power you can channel the better, within reason, but make sure that you’re focused on solving the problem and creating the solution which fits your corporate goals and your customers’ needs.
  • Think ahead at all the things which might impact how you can custom-design, create, distribute, manage, support, etc., your solutions to manage the ripple effect. We all learned the lesson about the well during the pandemic 
  • Look not just at the data generated real-time today, but also at the decades of data we’ve amassed to help us better manage the needs of others.
  • With that said, the need for privacy, security and access is of primary concern. No solution is complete and effective without folding in these elements.
  • Look not just at how products are manufactured, but look also at how the innovations around Industry 4.0 will help leaders from all industries better deliver exceptional value to their very demanding customers. 
  • Leverage the latest technologies to keep current, realizing the impact of Industry 4.0 advantages, including Digital Twin and 3D Printing, data analytics, robotic automation, etc.,

Industry 4.0 is in its infancy, as we work to be more efficient while being more excellent, leveraging technology and collaboration. The challenge has been how to vacillate between looking at the strategy and big picture while also focusing on the weeds of the data, the details of the process, the needs of the individual customers and each individual person involved in delivering customized solutions for these customers. 

Resource: https://www.mckinsey.com/featured-insights/americas/building-a-more-competitive-us-manufacturing-sector 

Innovating on the Edge

March 12, 2021

Innovating on the Edge

FountainBlue’s March 12 VIP Roundtable on the ‘Innovating on the Edge’ topic included executives representing a wide breadth of backgrounds and perspectives. We began with some definitions about the ‘Edge’. In the ‘old days’, the Edge might be defined by where the wires end – at the point of going wireless. But today, most things are not hard-wired, and we look more at the edge of the cloud – where the cloud meets the sensors and devices.Our executives agree that it’s becoming increasingly more important to innovate and manage on the edge, but there are many business and logistical challenges for doing this well. 

  • Data Challenges: The volume of data generated by devices on the edge is immense and the challenges are varied.
  • Relevancy: getting filtered and relevant data to the right reports and programs
  • Latency: the time it takes to get the data to the right report and programs
  • Movement: moving data from the edge to other areas in the network and in the cloud can be complicated and takes time
  • Storage: management and maintenance of current and past data can be complicated and expensive

Problems beyond the data include:

  • Computational Issues: programs processing of the volumes of data to understand what’s relevant, what the implications are
  • Outdated and Sub-optimal Programs: legacy applications and other programs on enterprise networks may not be as effective and may even pose security challenges and additional expenses
  • Communicating between moving entities: car-to-car, car-to-object, car-to-people communication has its unique challenges which require collaboration between many stakeholders – from cities to auto dealers, from government officials to 5G developers, from business leaders to consumers
  • Infrastructure and Policy Challenges: we need the policies, support and funding so that we can invest in infrastructure upgrades which further allow for innovating on the edge

Below are best practices for innovating on the edge.

  • Practice Data Gravity, which treats data at its origination site, rather than moving it to another location before working with it. This addresses the data issues around latency, storage and movement.
  • When filtering for relevant data on the edge, the algorithms don’t need to be that precise, just identifying data that’s in the right ballpark.
  • Invest in solutions which minimize latency, especially when lives are at stake –  for example for healthcare and automotive solutions.
  • Design smaller form factors but with more functionality and more control.
  • Get immediate, deep and broad visibility on security exposure and breaches.
  • Create and join partnerships with carriers, vendors, providers, regulators to support the infrastructure needed to innovate on the edge.
  • Look to the AI for the historical trends and integrate that into your solution,  while also looking at Machine Learning to make predictions based on past behaviors and information.
  • Optimize for tiny computers on the Edge, which can do much more processing more quickly. 
  • Design more sophisticated environmental sensors which would give real-time feedback, monitoring for specific issues. 
  • Pay close attention to the user experience – what’s intended and what’s experienced. 

The bottom line is that we will all continue to innovate on the edge, and companies and consumers will continue to reap the benefits of it in our day-to-day lives. 
Resource: March 8, 2021: Global Mission Critical Communications Market Report 2021: AI-powered IoT Critical Communication Market in Public Safety will Surpass $20 Billion by 2028 https://www.prnewswire.com/news-releases/global-mission-critical-communications-market-report-2021-ai-powered-iot-critical-communication-market-in-public-safety-will-surpass-20-billion-by-2028-301242381.html

Bigger Solutions with Smaller Devices

February 12, 2021

FountainBlue’s February 12 VIP Roundtable on the ‘Bigger Solutions with Smaller Devices’ topic included executives representing a wide breadth of backgrounds and perspectives, but they agreed on many things.

  • Hardware will continue to become smaller while gathering a wider assortment and larger amount of data real-time. Software will become bigger to optimize functionality and performance around the data and ensure its ongoing usefulness for all stakeholders.
  • The Future of Work will be remote, and hardware and software options need to fit the functionality, accessibility and security requirements of the (internal and external) customers. 
  • Optimizing managed services will help enterprise IT departments focus on the employee needs and the employee experience, rather than on the infrastructure functionality like privacy, security and access.
  • Enterprises need to proactively update and integrate all in-house and partner solutions, especially legacy solutions, to ensure their ongoing usability, performance and security. Reactively responding to issues could waste a lot of time and money and reflect poorly on the corporate brand.
  • Enterprise and government infrastructure must be enablers of the hardware and software functionality adopted by staff and citizens, and this infrastructure must be upgraded to meet the ongoing needs of these customers.
  • The functionality will expand with the demands of the customers, demands of the market. Form factors such as the body or a car offer guardrails for the range of solutions created – they must fit the user/target! But the connectedness between the solutions and the functions themselves can be more adaptable and fluid. 
  • Solutions may become much more complex, but users still want the solutions to be easy to use and customers expect a great immersive experience.

Below are some opportunities in this space.

  • As we provide more software functionality into smaller form factors, the phone and other ubiquitous devices must provide even greater functionality – including healthcare monitoring applications, decision-making of real-world devices and equipment based on real-time reporting, and other functionality. This is particularly true with the roll-out of 5G.
  • There will be an increasingly HUGE appetite for optimized hardware and software solutions which are high-performing, scalable, true-to-spec, and even self-monitoring/self-correcting. 
  • We will all continue to develop hardware solutions which are flexible, small and sleek, with a shape and size that would fit the target destination. 
  • Individual hardware solutions will be integrated with multiple software solutions to optimize functionality, usability, and form factor. 

The bottom line is that the hardware will get smaller, the software will get more integrated, more scalable, more versatile.

Data Meets Healthcare

January 15, 2021

FountainBlue’s January 15 VIP Roundtable on the ‘Data Meets Healthcare’ topic included executives representing a wide breadth healthcare industries – from pharma to biotech, from healthcare services to digital health, and even tech companies in semiconductor and consumer electronics had perspectives on the topic. We all agreed that the advances in technology and in healthcare have facilitated the amazing response to a worldwide pandemic and other pervasive and emerging health issues.Although their backgrounds and strategies varied, our participating executives agreed on the following regarding data meeting healthcare.

  1. Data will continue to be pervasive and overwhelmingly available. And the challenge will continue to be in selecting the relevant, true and actionable data which would best serve stakeholders across the ecosystem, which protecting their privacy, and providing selective and immediate access.
  2. Focusing on getting the data right alone can help improve how quickly and accurately we diagnose, treat and care for our patients. Indeed, it could also help prevent diseases and conditions and help mitigate risks.
  3. There may be opportunities to extrapolate from large volumes of data to draw conclusions and help develop initial diagnosis and treatment strategies.
  4. Proactively managing the usage of equipment and materials and pharmaceuticals with data will help ensure logistical and operational excellence in support of the healthcare needs of our patients, and the bottom line of the providers and caretakers across the ecosystem.
  5. The more data we gather about people with similar conditions, the more we learn about each individual person, and the more generalities we might be able to make about a particular disease. But every person will respond differently to different things, so respect the collected data without making direct correlations and conclusions on how any one person might react and respond to any particular scenario.

We all remarked on the value of collaboration across the ecosystem so that we can all better benefit. Below is a compilation of thoughts on the market opportunities ahead, which might benefit from collaboration.

  • Personalized medicine can be a real opportunity if we can overcome the privacy, security and access challenges and if the technology continues to evolve so that we can design custom diagnosis and treatment for patients.
  • Empowering the consumer with data will help them as patients better partner with others across the ecosystem to make better decisions in researching their own conditions, and also in making treatment and care decisions.
  • Identifying and treating a niche market may have ripple effects in supporting others. The example of an expectant mother comes to mind.

Throughout the discussion, there was a message of hope as we all grapple with the different challenges and opportunities offered as data meets healthcare. It’s significant that companies far outside the healthcare sector are looking closely at how data meets healthcare, and what the business and market  opportunities are, and also significant that each executive is exploring how we can better connect and provide more impact for all.
Please also see Frost & Sullivan’s Top 10 predictions for healthcare in 2021.