hello Human Podcast Season 1

Welcome to the hello, Human podcast season 1 where we will discuss the latest topics in artificial intelligence and how it’s being applied in the real world.

Latest Release

Episode 15 – Applying Data-Driven Solutions to Fertility Treatments

FortressIQ | Intelligent Insights for the Modern Enterprise
Episode 15 - Applying Data-Driven Solutions to Fertility Treatments
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Episode 1

The Four Realities of Transformation

Pankaj Chowdhry
Founder and CEO at FortressIQ

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

Kamal Ahluwalia
President at Eightfold

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

Doug Henschen
Vice President and Principal Analyst at Constellation Research

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

Abhinav Kolhe
Head, Technology Office for Intelligent Automation at Cognizant

Sudhakar Pemmaraju
North American Head, Digital Strategy & Operations Transformation Consulting Practice at Cognizant

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

Craig Le Clair
Vice President and Principal Analyst at Forrester Research

Stephen Siciliano
Partner PM Director at Microsoft Power Automate

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

Scott Klososky
Founding Partnerat at Future Point of View

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

Ben Nabulsi
Process Data Scientist at dentsu

“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

Sherika Ekpo
Global Diversity and Inclusion Lead – Research and Artificial Intelligence at Google

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

Preeti Adhikary
Master of Advanced Management Student at Yale University
Former Director, AI & Marketing Lead at Emergents at Weild & Co.

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

Beatrice Zatorska
CEO & Cofounder at Smart Tribe

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

Katica Roy
CEO at Pipeline 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

Zahra Timsah
AI Governance and Ethics Leader at MassMutual Life Insurance

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

Tripti Sethi
Senior Director, Global Data & AI COE Lead at Avanade

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

Kathy McNeill
Director of Artifical Intelligence – Center of Excellence at GSA

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

Yael Gold-Zamir
M.D. Founder and CEO at Embryonics

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.

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All Seasons

Interesting in More Podcasts? Check out More Seasons

hello Human Podcast – Season 1

Special Edition – Women in AI

hello Human Season 2 – Coming Soon!

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