INTELLIGENT ECONOMIES: AI’s transformation of industries and society
The Economist study explores the transformative potential of AI on markets and societies across the developed and developing worlds. More than 400 senior executives were survey from industries, including financial services, healthcare and life sciences, manufacturing, retail and the public sector, plus in-depth interviews were conducted with business leaders and experts in AI.
Three of the major findings are:
For businesses utilizing video within their product offering, AI Video Analytics can overcome the above three obstacles. Our experienced team and technology can enable your business to utilize AI to gain a competitive edge.
AI Video Analytics – Your Partner in Implementing AI within Your Video-based Product Line or Production Processes
Before showing how AI Video Analytics overcomes the above obstacles for you, I’d like to explain the value that we provide. They fall into two categories
How We Overcome Obstacles
The AI Video Analytics team has expertise in implementing AI/deep-learning models within the cloud, enterprise systems and within smart cameras. We have the experience to overcome the three obstacles to implementing AI within your product line and organizations. Specificially…
You build teams to get as close to the customer as possible. (I call these listening teams.) Teams bring together and involve the entire company in that tribal knowledge and findings from those efforts. But the most important part to get right is the user breaks the tie. We need to shelve our personal bias, eliminate unilateral decision-making power over features and experiences and let the user and their repeatable data teach teams how they use your product.
I refer to this as a product experience team (PXT). So, what’s this all about? For starters, please stop building teams around features. Build teams around experiences. Sure we have features in there, but that’s why we keep building crappy products because we focus solely on the feature not the experience journey the user takes through a product.
Just to be clear, in the diagram below you can place a persona, experience or a big idea in the middle. All of the practitioners clan up and work to find common ground and glean confidence by working together, having healthy conflict and solving complex human-centered product problems together.
The Economist study explores the transformative potential of AI on markets and societies across the developed and developing worlds. More than 400 senior executives were survey from industries, including financial services, healthcare and life sciences, manufacturing, retail and the public sector, plus in-depth interviews were conducted with business leaders and experts in AI.
Three of the major findings are:
- Respondents are optimistic about the economic benefits that AI will bring. Over the next five years, survey respondents expect AI to have a positive impact on growth (90%), productivity (86%), innovation (84%) and job creation (69%).
- Both private- and public-sector organisations consider AI essential to business strategy. More than nine out of ten respondents (94%) describe AI as important to solving their organizations’ strategic challenges.
- Several major obstacles to leveraging AI successfully were noted by businesses…
- Obstacle #1 - Cost or financial risk tops the list.
- Obstacle #2 - Execution risk - organization may not have the necessary resources, in terms of people or tools, to effectively implement AI.
- Obstacle #3 - Challenges involved in persuading employees to adopt new technology or learn new skills (35%) and security (32%).
For businesses utilizing video within their product offering, AI Video Analytics can overcome the above three obstacles. Our experienced team and technology can enable your business to utilize AI to gain a competitive edge.
AI Video Analytics – Your Partner in Implementing AI within Your Video-based Product Line or Production Processes
Before showing how AI Video Analytics overcomes the above obstacles for you, I’d like to explain the value that we provide. They fall into two categories
- Understanding the “next big thing” – We have a strong expertise of AI technology and implementation within video products and applications. We will collaborate with your staff and provide insights and examples of disruptive AI video technologies that will be commercially available within the next 1 to 3 years. In addition, we will generate detail reports as to the benefits of implementing AI.
- Implementing the “next big thing” – Our staff will work with your product team to implement AI within your existing and soon to be launched products. We will seamlessly integrate AI modelling and data collection processes into your existing product development process. Our goal is to provide you with a strategic competitive advantage and your customers with a better user experience.
How We Overcome Obstacles
The AI Video Analytics team has expertise in implementing AI/deep-learning models within the cloud, enterprise systems and within smart cameras. We have the experience to overcome the three obstacles to implementing AI within your product line and organizations. Specificially…
- We reduce cost or financial risk (i.e., Obstacle #1), by providing educational seminar focus on the ingredients needed for the successful implementation of AI and milestone product development events. The seminar is given by AI Video Analytics Development Manager. Among his credentials is organizing and running the AI Educational Meetup Group in Tampa
- We eliminate
- Obstacle #2 - Execution risk - organization may not have the necessary resources, in terms of people or tools, to effectively implement AI.
- Obstacle #3 - Challenges involved in persuading employees to adopt new technology or learn new skills (35%) and security (32%).
You build teams to get as close to the customer as possible. (I call these listening teams.) Teams bring together and involve the entire company in that tribal knowledge and findings from those efforts. But the most important part to get right is the user breaks the tie. We need to shelve our personal bias, eliminate unilateral decision-making power over features and experiences and let the user and their repeatable data teach teams how they use your product.
I refer to this as a product experience team (PXT). So, what’s this all about? For starters, please stop building teams around features. Build teams around experiences. Sure we have features in there, but that’s why we keep building crappy products because we focus solely on the feature not the experience journey the user takes through a product.
Just to be clear, in the diagram below you can place a persona, experience or a big idea in the middle. All of the practitioners clan up and work to find common ground and glean confidence by working together, having healthy conflict and solving complex human-centered product problems together.
