Unleashed - How To Thrive As An Independent Professional

Show Notes: Dimitris Samouris discusses the development of a tool called Junior, an SaaS tool built on large language models and speech to text models. It leverages AI to help process primary research workstreams, particularly in the due diligence process, especially for primary interviews. How Junior Works - A SaaS Tool to Clean Transcripts Junior helps automate a significant portion of the administrative tasks associated with research execution, allowing users to focus more on the big picture answer rather than the execution side of things. The tool provides a highly accurate transcript of each call, including the name, segment, company, customer size, date and time of the interview, call status, and review status. The call tracker is a knowledge repository that displays the names, segments, job title, company, customer size, country, date and time of the interview, call status, and review status. The call screen is a customizable project management tool for running the call workstream. Junior has three par

In this episode of Unleashed, Ran Harpaz, founder of Lettuce, discusses the importance of an automated tax and accounting system for businesses and that Lettuce is entirely focused on independent consultants. Independent consultants who make over $100,000 per year often overpay their taxes by $10,000 or more. Lettuce is a FinTech software company that helps these professionals incorporate their business into the right S corporation with the IRS, open a business bank account, run bookkeeping, run accounting, predict and file taxes, all done automatically through software. The company offers two levels: Pro (300 dollars a month) and Premium (700 dollars a month). The service includes accounting, bookkeeping, tax preparation, and tax preparation.  Tax Strategies for the Independent Consultants  Ran explains how many independent consultants are often double taxed as sole proprietors due to the IRS's coordination on annual tax returns. He offers an example to demonstrate how this works. Ran also discusses the conc

Salah Zalatimo, former Chief Digital Officer at Forbes, discusses the history of magazines and digital transformation. Magazines have been around for a while, with many well-known brands being founded around 100 years ago. Technological innovations have enabled new businesses to launch, such as the Direct to Consumer (DTC) boom and the cheaper printing costs around the turn of the last century. A Short History of the Magazine Industry Salah talks about the background of Forbes, which was launched around the Great Depression, and goes on to why the magazine industry was much like VC Investing  today, and how it changed with the advent of the internet. The tension between maintaining journalistic integrity and separation was a challenge. However, the internet revolutionized the way magazines operated, leading to many magazines going out of business in the past 20 years. Integration with the Digital Media Space Salah started his career in 2001, drawn to the digital media space after experiencing the first broadb

Show Notes: In this discussion, Will Bachman interviews Henry Oliver, author of the forthcoming book Second Act about late bloomers. Oliver has a background in English literature and marketing. He worked for an MP and later in employment marketing.  Defining a Late Bloomer Henry’s interest in late bloomers came from his work in employment marketing, and during his research, he found a wealth of talent in an older demographic. During the course of his research, he found that cognitive ability is the number one predictor of job performance regardless of age.  A late bloomer is someone who is no longer expected to achieve anything significant. However, Henry states that many people start a successful career late in life. Henry’s book is structured as a series of short biographical sketches that illustrate themes such as the right people, networks, influence, being at the right place, the right time, and meandering career paths that many high profile leaders, including Margaret Thatcher, are prime examples of the

Show Notes Craig Callé talks about third party risk management (TPRM), with an emphasis on cybersecurity. TPRM is a subset of Governance Risk and Compliance (GRC), which aims to help organizations achieve their objectives, address uncertainties, and act with integrity. TPRM is crucial as over half of all data breaches occur through insecure third parties. Companies need to understand their third party relationships and monitor them more carefully, which requires a variety of tools and processes. Craig explains that TPRM can cover a variety of risks, including cybersecurity, but also financial viability, compliance with privacy, sanctions and other regulations, reputation management, supply chain issues, and alignment of ESG and sustainability objectives.   Defining GRC and Third Parties Craig explains that GRC is a broad category that includes TPRM, but also enterprise risk management (ERM), business continuity or operational resilience, policy management, controls compliance, privacy and ESG. ERM typical

Show Notes: In this conversation with Will Bachman, Ivan Oransky, a co-founder of Retraction Watch, shares his experience as a medical journalist and with Retraction Watch. Ivan explains that his friend and co-founder, Adam Marcus had uncovered a massive story about scientific fraud in Western Massachusetts, where an anesthesiologist had made up all clinical data. Adam, who was managing editor of an publication called Anesthesiology News got the scoop on the story, and Ivan, who was impressed with the story, suggested they start a blog about retraction notices, it turned out there were far more happening than previously thought.  13 and a half years later, Retraction Watch is still going strong and has a large audience. Adam and Ivan are volunteers but have four staff two of whom run a database of retractions that was recently acquired by CrossRef, a nonprofit that tracks scientific data and papers. The other two staff continue to contribute to the journalism work they started 13 and a half years ago, while I

Show Notes: Melanie Espeland, a TEDx speaker and executive coach with 17 years of experience in strategy, operations, and coaching, she’s former McKinsey, and in this episode, she discusses the importance of executive presence and how to achieve it. Communication in Executive Presence In this workshop, Melanie explains that executive presence is important because it provides access to insider discussions, meetings, events, and happy hours. Access is crucial for success, and influence is essential for those with a purpose or vision. Executive presence allows for a balance and integration of power, authority, respect, trust, warmth, and likability. Melanie also discusses the concept of compassionate authority, which she sees as a combination of power, authority, respect, trust, warmth, and comfort with the people you are speaking with. This external communication and ability to share thoughts and feelings are key to achieving executive presence. By understanding the value of executive presence and its impact on

Show Notes: In this episode of Unleashed, Alex Brueckmann discusses the concept of strategy and its importance in business. Alex states that strategy is defined as a set of integrated choices made to win in a chosen marketplace. It is not just about playing the game, but about creating value that convinces or influences customers to buy from the company. A good strategy should be cohesive and integrated, making sense together, and Alex explains what defines a good strategy.  Defining Key Factors in a  Strategy When discussing a strategy, it is important to understand what the company does, for whom, what they offer, and who their customer is. This information can help businesses define their niche, mission, and goals. The next piece of information should be a clear description of what the business will look like in the next few years. The end state of the business and the strategy cycle should be defined, with what will be achieved by implementing the strategy and what actions will be taken. By knowing what y

Show Notes: Karen Friedenberg discusses a project she worked on to design an Intelligent Automation Center of Excellence for a Fortune 500 medical supply company. The challenge was that the organization was initially looking to leverage robotics process automation (RPA) technology to automate repetitive and manual processes. This led to the development of Intelligent Automation, also known as hyper automation. Defining the Meaning of Intelligent Automation The first step in this project was defining Intelligent Automation and defining its meaning. The client wanted to develop a center of excellence to coordinate efforts across the company to take advantage of new technology and benefits quickly and in a coordinated way. The center of excellence would serve various needs and be a resource for the organization. Karen explains that the first step was to identify the pockets within the organization where people were learning about robotics, process automation, AI, and chatbots. She then interviewed stakeholders t

Show Notes: In this episode of Unleashed, the panel discussion focuses on the pros and cons of becoming an adjunct professor. The panelists discuss the motivations behind teaching courses as an adjunct professor, how to get hired, whether to teach in traditional MBA programs or other certificate or degree programs, the amount of work involved, typical pay, relationship building opportunities, project opportunities, and ancillary benefits such as access to datasets or research services. The discussion kicks off with Adam Braff, a data analytics executive/advisor, shares his reasons for teaching, stating that the best reasons to teach are not practical instrumental reasons but more passion and love for teaching and believes it is a creative act. Mary Kate Scott follows Adam. She teaches at the University of Southern California, Marshall School of Business in the MBA program, and Keck School of Medicine, focusing on healthcare. She has taught the business of healthcare, innovation and health care, new business m

Show Notes: Russell Reynolds, founder of Russell Reynolds Associates and RSR Partners, shares his story of starting his own executive search firm in the 1960s. He served in the Air Force and later joined JP Morgan. After working there for six or seven years, he joined William Clark Associates. However, shortly after, he decided to start his own firm with his friend OB Clifford and a few other friends. They collected $50,000 and started Russell Reynolds Associates. He also decided to invite his friend Lee to join the firm as partner. The firm was established in 1969, and the partnership worked well. Today, Russell Reynolds Associates is one of the largest search firms in the world. As a big producer, Russell believes that success in a service business is about doing a good job and connecting with clients. He was introduced to the senior partner of Oppenheimer and company; they became great friends which eventually led to many more clients. Key Factors in Hiring Talent  Russell states that it is important to lo

Show Notes: In this episode of Unleashed, Paul Gaspar discusses his experience working with artificial intelligence at a major global insurance conglomerate in Japan. The company faced pressure to streamline operations and reduce costs within its auto business. Paul, who was in a role leading the data science function, suspected that the claims area in insurance was a target-rich environment for delivering value with advanced analytics and technology. He found that similar processes were being utilized on claims regardless of the size, leading to the opportunity to put analytical rigor behind the claims estimation process. AI Use for Processing Insurance Claims Paul and his team looked at information flows at various points in the process, specifically evaluating how information collected at the time of the accident could be used to provide insight on losses. Using this information, they built predictive models using AI techniques that would allow them to predict the ultimate value of these claims from a $1 p

Show Notes: In this episode of Unleashed, Astrid Malval-Beharry discusses an AI case study with a top 50 homeowners insurance carrier in the US. Astrid was approached by their underwriting and innovation teams to digitally transform their underwriting workflow.  Astrid shares an overview of the industry at present. The industry is facing challenges due to an increase in natural catastrophes, inflation, disruptions in the supply chains, and policyholders who prefer to have an Amazon or Uber experience with their insurance carrier. The client had three goals for the digital transformation project: increasing the level of straight-through processes, improving risk assessment, and realizing greater investment in inspection. Astrid explains what  straight-through processing is and how it works using data analytics and AI-based and technology solutions.  The second goal was to improve risk assessment by analyzing the location of the property, the condition of the property, and the policyholders themselves. The clie

Show Notes: Julie Noonan shares a case study on using AI while working with a top 15 global pharma company to get the most insight from the data and reduce time to market or time to development of their particular molecules and drugs.  In early 2022, the pharma company was using artificial intelligence and machine learning to analyze clinical and research data. The organization Julie worked with was a digital and data concentration alongside data scientists and computer scientists. Julie shares where this organization placed focus and what their goal was with regards to using AI and machine learning(ML), and the role she played in developing this center of excellence.    Company Use Cases of AI and ML Most of the early use cases involved clinical data and research data. Clinical groups were conducting the first clinical trials with animal populations, and recording their data in various tools. They were studying a specific model molecule to understand its implications across projects. For example, they were s

Show Notes: Markus Starke, an advisor for cybersecurity and digital process transformation, has recently been working in cybersecurity for the AI applications that corporations are using. Marcus explains that, AI plays a significant role in work, particularly in intelligent process automation. This concept involves combining technologies like robotic process automation, process mining solutions, chatbots, Optical Character Recognition, and more advanced forms of machine learning and generative AI to build end-to-end processes. However, cybersecurity issues can affect these automation systems, especially as more users use them individually. Safety Measures with AI Automation Markus talks about several dimensions of cybersecurity with AI automation. To ensure the safety of AI-related automation situations, clients are asked to review their setup from a Target Operating Model perspective. A framework is created to guide this process, including governance, secure development processes, and creating awareness abou

Show Notes: Cheryl Lim Tan discusses her experience working with a financial wellness product powered by AI. The client was early in their journey and needed to raise awareness of their product. They needed to refine their product further and gain more users to gain feedback and make adjustments to its features. Cheryl was brought in to take care of the entire marketing function.  Cheryl's approach involved figuring out the company's brand, target audience, and value proposition. She also focused on articulating the unique value proposition of the product compared to free tools like Chat GPT. By addressing these aspects, the consultant was able to create a clear framework for the client's marketing function and reach investors. Prompting AI Tools Cheryl highlights the importance of education in the AI world, as AI tools are prompt-driven and consumers may not know how to interact with the interface and how to prompt it. To address this, they developed a suite of YouTube videos on how to prompt the tool for di

Show Notes: Barry Saunders, a digital expert at McKinsey, discusses his background in the firm and his experience in AI-related projects. He worked in the LEAP practice, which built platforms for video streaming, preventative maintenance, and optimization tools. He left McKinsey to become Chief Product Officer at an Australian fashion company and recently joined MXA, a strategic digital technology company in Australia. Barry suggests a two-by-two typology classification scheme for AI-related projects. The first quadrant focuses on understanding patterns of behavior, while the second quadrant focuses on predictive behavioral modeling, third is more about text orientated and understanding meaning. The fourth quadrant focuses on regenerative AI and content creation. Barry believes that combining these quadrants can lead to personalized content for different customers and valuable insights and can unlock interesting value.  AI Use Case Study Barry and his partner have been working on an AI toolkit to automate tim

Show Notes: In this episode of Unleashed, Phil Bellaria shares a case example of building a Chat GPT using open-source large language models. The client was a large telecommunications company with an immense amount of unstructured data, including customer feedback, feedback from employees through surveys, and transcript transcripts from millions of phone conversations and text chats. The problem statement was to derive insights and understand the state of the business, identify trends and topics as quickly as possible. The process took place through 2018-2020. Working with a data scientist, and using Google's BERT methodology for natural language processing, the team coded an algorithm that identified topics and classifiers from the unstructured data, scored each topic and phrase on sentiment (positive or negative comments) and created a short summary of customer or employee comments related to each topic. The process of building and running the model was processing intensive, and the first step was testing a

Diane Flynn, a multi-talented professional and author of  two books and two popular courses on Udemy, Growth Mindset and Communicating with Confidence, has been working with her company, Reboot Excel, for the last decade. The company aims to help women feel current with technology, connected with a professional network, and confident in their return to work. She has had thousands of people go through their programs and continues to offer resources on their website and coaching workshops. Diane talks about her experience of returning to the workplace after taking a long hiatus, and how she became aware that many women wanted to return to careers but found it difficult to do so for a variety of reasons. She observed that many women returning to work are immensely talented and capable, but they often face a confidence crisis when trying to get back into the workplace. Consequently, she was inspired to start Reboot Excel with four friends. The company was successful, and through her work, she found that many peop

Show Notes: Terry Roopnaraine, a technical consultant for international development projects, has been working in the field for about 25 years. He provides technical services to support projects funded by bilateral donors, UN agencies, and multilateral agencies like the World Bank. Over the last decade, an increasingly important area of the practice has been working with foundations. Terry's work involves providing services that are required to make these projects work and deliver the best impacts on the ground for the beneficiary populations they serve. There is a huge accountability chain because these projects are often funded through the public purse of one country or another, so there must be some kind of proper accountability and evaluation. The Role of a Technical Consultant Terry talks about the roles a technical consultant might play. He divides his work into two broad areas: project implementation and management, and learning evidence and evaluation. The implementation side of technical consulting f