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hello, Human Podcast
Discussing the latest topics in AI and how it’s being applied in the real world
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Episode 1: The Four Realities of Transformation
Organizations on the transformation journey should take the counterintuitive approach of embracing both change and the status quo. The key to the speed, and success of an transformation program lies in figuring out how to leverage components of the existing, while delivering change.
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Episode 2: Turning Talent into Competitive Advantage
Employment is the backbone of our society, and everyone deserves the right job. Today, you get the job based on who you might know and not what you are capable of doing. Tomorrow, AI-enabled technology will transform how high-performing companies acquire and manage talent.
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Episode 3: Rebooting Data-to- Decisions Initiatives
With the on-going return to business, leading organizations continue to pursue digital transformation and innovation goals even as they seek efficiencies and optimization. These initiatives depend on data, often data at scale, and technology optimization to meet target objectives and achieve the target future state.
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Episode 4: The Building Blocks for a Resilient Digital Core
Maintaining continuity and managing through change is now an existential challenge, as business processes experience enormous demand spikes. By more effectively orchestrating process automation, companies can address both near- and longer-term operational challenges.
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Episode 5: Understand Today, Automate for Tomorrow
Combining the strength of FortressIQ and Microsoft Power Automate, organisations can quickly obtain details on their current state operations, easily pinpoint the most optimal areas for automation, and execute RPA and automation initiatives on the fly – with no coding required.
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Episode 6: Humalogy and the Future of Work
For years the promise of technology has been the ability to produce a more productive workforce. The challenge however is that while technology may improve productivity and efficiency by automating routine tasks, today it does not embody or transfer the human conditions necessary for building interpersonal relationships. Humanizing technology is still in its infancy therefore when trying to maximize efficiency and develop connectedness, there’s a careful balance that must be struck. To that end, Humalogy examines blending available technologies with human effort to maximize performance and potential.
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Episode 7: Elevate Human Potential With Innovative Automation
“Every company – no matter what size – knows that in order to remain competitive, you have to embrace change. Most transformation programs in the last decade have focused on customer experience, but today, indicators suggest the emphasis moving forward will shift toward back-office operational excellence. FortressIQ customer dentsu is a company that thrives on innovation and an entrepreneurial spirit, which powers its Automation Center of Excellence and that team’s mission to elevate human potential across the organization.”..
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Episode 8: Battling Bias in AI
For leaders, the promise of AI needs to be offset by an understanding of the risks. A lack of diversity and the inherent bias in technology influences many critical decisions around health, education, the workplace and society in general. It’s not the fundamental technology that’s racist or sexist, but the data on which we train the algorithms or the unconscious biases and prejudices of the developers. Battling these biases within and beyond the workplace includes addressing workplace equity and essential diversity and inclusion programs and initiatives. Beyond the world of HR and technology, one path to battling biases involves building awareness at a young age or through professional mentorship.
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Episode 9: Leveraging Technology for Social Impact
In the fast-paced world of technology, there are various ways to leverage AI and technology for the social good. Yet, it is critical to address the misconceptions and challenges in AI when doing so. Conquering the challenges created by AI, as well as learning how to use those challenges as a motivator can create a strong passion for CSR and social justice initiatives. At the end of the day, visibility and awareness of these issues, and how to address this is how we can use technology and AI for the greater good.
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Episode 10: Building High-Impact Networks
Developing a high-impact network is a critical factor in long-term professional success and even more important in today’s hyper-connected world. Networking success requires equal parts of will and skill. Contrary to popular opinion, an outsized personality is not a requirement. With practice and persistence, anyone can build and benefit from a high-impact network. Smart Tribe is a company that understands the value of a network and has a developed to AI-enabled platform to connect academia and industry to help address one another’s crucial problems while breaking down silos.
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Episode 11: Optimizing the Power of AI for Gender Equity
From Fortune 500 stalwarts to Silicon Valley startups, gender equity has been a challenge for generations. But today despite universal agreement that a fix is overdue, not much has been done to actually move the needle. Because the workplace was not designed to value women, we need to change the ways we make decisions and evaluate talent to truly address the problem, and technology can be an accelerator. Using AI and natural language processing, software can identify bias in performance evaluations and point organizations toward making better decisions about promotions and new opportunities for employees. It’s more than just an issue of fairness for companies to act. For every 10% increase in gender equity toward parity, there is a 1% to 2% increase in revenue.
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Episode 12: Ethics and AI within the Health Industry
Developing a high-impact network is a critical factor in long-term professional success – and even more important in today’s hyper-connected world. Networking success requires equal parts of will and skill. Contrary to popular opinion, an outsized personality is not a requirement. With practice and persistence, anyone can build and benefit from a high-impact network. Smart Tribe is a company that understands the value of a network and has a developed to AI-enabled platform to connect academia and industry to help address one another’s crucial problems while breaking down silos.
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Episode 13: The Business Side of Women in Technology
Some estimates put the number of unfilled tech jobs at more than one million, yet women hold fewer than 25% of all technology jobs. There are several reasons women are under-represented in the sector: gender bias, a lack of information about the potential for STEM careers early in a girl’s education, a shortage of female mentors, company cultures that don’t adequately support women technologists, and more. However, the bottom line is that not enough women are pursuing careers in tech. Fortunately, times are changing. Some companies are taking steps to attract more women employees by addressing pay gaps, offering flexible work policies, and implementing programs to help women thrive.
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Episode 14: Building Trust in Government with Responsible AI
A framework for AI that leads to successful outcomes includes proper governance, thoughtfully conceived processes based on input from affected stakeholders, and transparency about AI’s role in decision making. Responsible AI represents this comprehensive approach. To achieve it, governments must empower leadership and use AI to enhance human decision making—not replace it. A Responsible AI approach should include regular reviews, integration with standard tools and data models, and a plan for potential lapses.
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Episode 15: Applying Data-Driven Solutions to Fertility Treatments
Computers have always been superior to humans when it comes to computational-heavy work. Our brains are simply not wired to handle as much data as a computer. As humans, our domain has always been judgement dependent expert decision-making. But that gap is narrowing. Computers have been out-performing humans in various fields for a number of years. Embryonics is just one of those examples. Embryonics technology out-performed a panel of embryologists in predicting which embryos would result in pregnancy by over 20%. According to their website and backed by the countless lives they’ve changed, their algorithm boasts a 12% increase of positive predictive value and a 29% increase of negative predictive value.
Listen NowPodcast
Episode 8: Battling Bias in AI
For leaders, the promise of AI needs to be offset by an understanding of the risks. A lack of diversity and the inherent bias in technology influences many critical decisions around health, education, the workplace and society in general. It’s not the fundamental technology that’s racist or sexist, but the data on which we train the algorithms or the unconscious biases and prejudices of the developers. Battling these biases within and beyond the workplace includes addressing workplace equity and essential diversity and inclusion programs and initiatives. Beyond the world of HR and technology, one path to battling biases involves building awareness at a young age or through professional mentorship.
Listen NowPodcast
Episode 9: Leveraging Technology for Social Impact
In the fast-paced world of technology, there are various ways to leverage AI and technology for the social good. Yet, it is critical to address the misconceptions and challenges in AI when doing so. Conquering the challenges created by AI, as well as learning how to use those challenges as a motivator can create a strong passion for CSR and social justice initiatives. At the end of the day, visibility and awareness of these issues, and how to address this is how we can use technology and AI for the greater good.
Listen NowPodcast
Episode 10: Building High-Impact Networks
Developing a high-impact network is a critical factor in long-term professional success and even more important in today’s hyper-connected world. Networking success requires equal parts of will and skill. Contrary to popular opinion, an outsized personality is not a requirement. With practice and persistence, anyone can build and benefit from a high-impact network. Smart Tribe is a company that understands the value of a network and has a developed to AI-enabled platform to connect academia and industry to help address one another’s crucial problems while breaking down silos.
Listen NowPodcast
Episode 11: Optimizing the Power of AI for Gender Equity
From Fortune 500 stalwarts to Silicon Valley startups, gender equity has been a challenge for generations. But today despite universal agreement that a fix is overdue, not much has been done to actually move the needle. Because the workplace was not designed to value women, we need to change the ways we make decisions and evaluate talent to truly address the problem, and technology can be an accelerator. Using AI and natural language processing, software can identify bias in performance evaluations and point organizations toward making better decisions about promotions and new opportunities for employees. It’s more than just an issue of fairness for companies to act. For every 10% increase in gender equity toward parity, there is a 1% to 2% increase in revenue.
Listen NowPodcast
Episode 12: Ethics and AI within the Health Industry
Developing a high-impact network is a critical factor in long-term professional success – and even more important in today’s hyper-connected world. Networking success requires equal parts of will and skill. Contrary to popular opinion, an outsized personality is not a requirement. With practice and persistence, anyone can build and benefit from a high-impact network. Smart Tribe is a company that understands the value of a network and has a developed to AI-enabled platform to connect academia and industry to help address one another’s crucial problems while breaking down silos.
Listen NowPodcast
Episode 13: The Business Side of Women in Technology
Some estimates put the number of unfilled tech jobs at more than one million, yet women hold fewer than 25% of all technology jobs. There are several reasons women are under-represented in the sector: gender bias, a lack of information about the potential for STEM careers early in a girl’s education, a shortage of female mentors, company cultures that don’t adequately support women technologists, and more. However, the bottom line is that not enough women are pursuing careers in tech. Fortunately, times are changing. Some companies are taking steps to attract more women employees by addressing pay gaps, offering flexible work policies, and implementing programs to help women thrive.
Listen NowPodcast
Episode 14: Building Trust in Government with Responsible AI
A framework for AI that leads to successful outcomes includes proper governance, thoughtfully conceived processes based on input from affected stakeholders, and transparency about AI’s role in decision making. Responsible AI represents this comprehensive approach. To achieve it, governments must empower leadership and use AI to enhance human decision making—not replace it. A Responsible AI approach should include regular reviews, integration with standard tools and data models, and a plan for potential lapses.
Listen NowPodcast
Episode 15: Applying Data-Driven Solutions to Fertility Treatments
Computers have always been superior to humans when it comes to computational-heavy work. Our brains are simply not wired to handle as much data as a computer. As humans, our domain has always been judgement dependent expert decision-making. But that gap is narrowing. Computers have been out-performing humans in various fields for a number of years. Embryonics is just one of those examples. Embryonics technology out-performed a panel of embryologists in predicting which embryos would result in pregnancy by over 20%. According to their website and backed by the countless lives they’ve changed, their algorithm boasts a 12% increase of positive predictive value and a 29% increase of negative predictive value.
Listen NowPodcast
Episode 16: Uncovering the Mystery of Your Data
Many organizations fail to discover the whole of their data, creating the mystery of data. Most organizations do not truly understand how they operate, especially at a granular level of detail. We are starting to get an understanding, and process intelligence technology is there to help us gain that insight.
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Episode 17: The Application of AI to Sales and Marketing
Marketing and sales have transformed over the years. What was once cold calling and email drip, has transformed into chat bots that engage with customers all across the world. Analyzing conversations, learning about a business’ processes, and understanding a customer’s wants and needs is the very base of successful marketing automation.
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Episode 18: How AI and Robotics are Fueling the Future of Food
Labor shortages in the food and beverage industry are nothing new, but after a global pandemic, the industry was hit harder than ever. Food service organizations are turning to automation and robotic solutions to help conquer the labor shortages and enhance food safety.
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Episode 19: Let’s Talk About AI
Conversation intelligence provides businesses with meaningful and actionable insights directly from the voice of customers as well as employees, in order to understand and predict behavior.
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Episode 20: Rebooting Talent Acquisition with AI
The Great Resignation is here and it’s real. To help handle the uptick in transitions, AI-enabled technology solutions are delivering productivity, efficiency, and accuracy to the traditionally human-centered process.
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Episode 21: Uncovering the Mystery of Your Data
As an industry leader, Tara shares her insight and knowledge of the fashion industry as well as AI development in order to give us a unique take on what AI can and will do for the fashion industry.
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Episode 22: Citizen Services Powered by AI
Today, Jon Knisley (the host of hello, Human and a long-time technologist helping companies adopt and utilize emerging digital solutions) talks with Max Vicino, the director for AI, IoT, and automation at Avanade about this episode’s topic: citizen services powered by AI. ..
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Episode 23: How AI is Reshaping Healthcare
It is estimated that AI applications can cut annual US healthcare costs by $150 billion in 2026. A large part of these cost reductions stems from changing the healthcare model from a reactive to a proactive approach, focusing on health management rather than disease treatment.
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