Winners' Circle

Business Intelligence Group Winners' Circle

Winners’ Circle is where award winners and volunteer judges step out from behind the recognition and tell the stories that made the win matter. Hosted by Business Intelligence Group, each episode brings together the people behind standout work in cybersecurity, customer service, sales, marketing, sustainability, AI, innovation, and business excellence. Our guests share what they built, what they learned, what changed after being recognized, and how their teams turned achievement into momentum. You will hear from winners who used recognition to build credibility, open doors, strengthen team morale, earn customer trust, and create new growth opportunities. You will also hear from judges who have reviewed countless nominations and know what separates a strong story from a forgettable one. These are not acceptance speeches. They are honest conversations with the people doing the work. Winners talk about the campaigns, products, decisions, setbacks, breakthroughs, and lessons that shaped their success. Judges share what stands out, what gets overlooked, and how companies can tell clearer, stronger stories about their impact. For companies, Winners’ Circle offers practical ideas for turning recognition into real business value. For leaders and teams, it highlights the people behind the results. For marketers and PR pros, it shows how awards can become more than a headline. Pull up a chair in the Winners’ Circle. This is where winners and judges tell the stories behind the recognition.

  1. Kim Canning on Kaplan All Access and Expanding Student Opportunity

    -1 ч

    Kim Canning on Kaplan All Access and Expanding Student Opportunity

    Kim Canning is helping Kaplan expand access to career readiness, test prep, licensure prep, credentialing, and professional development resources through a new model built for universities and students. As VP of Strategic Partnerships at Kaplan, Kim works with colleges and universities to bring Kaplan’s All Access License to learners at scale. Kaplan recently won a BIG Awards for Business honor for the program. In this episode, Russ and Kim explore how Kaplan has evolved over more than 80 years from test prep in Stanley Kaplan’s Brooklyn brownstone to a modern education company supporting students, universities, and career pathways across the country. They dive into Kaplan’s All Access model, which gives universities an enterprise license so students can access a broad catalog of Kaplan resources without each student having to pay individually. Kim explains how the program helps remove financial barriers while also introducing students to resources they may not have known existed, from MCAT and LSAT prep to critical thinking, data literacy, career readiness, credentialing, and licensure support. The conversation also covers how universities are using All Access in different ways, including first-year programs, career preparation, graduate school pathways, healthcare licensure, and support for historically black colleges and universities. Kim shares examples from Hampton University, NYU, Illinois public institutions, and other partners using the program to support retention, persistence, graduation, and student confidence. Along the way, Kim discusses education equity, soft skills, COVID-era learning gaps, critical thinking, healthcare pipelines, first-generation college students, government partnerships, and why universities may need to think differently about the resources students need to succeed. Topics Covered: [00:22] Welcome and intro, Kim Canning, Kaplan, and the BIG Awards for Business win [00:49] Kim’s 28-year journey with Kaplan [02:12] Kaplan’s 80-plus year history and Stanley Kaplan’s founding mission [03:25] What the Kaplan All Access License is [03:44] Moving from department-level purchases to university-wide access [06:07] How universities use All Access across different student needs [07:23] Cost, awareness, and access barriers for students [08:00] Why students may not know which resources can open doors [09:26] Helping students reduce anxiety and understand expectations [09:55] How All Access can support engagement, retention, and loyalty [11:37] Flipping the traditional student-pays model [12:40] Kaplan’s footprint with historically black colleges and universities [14:00] Why All Access can create immediate student impact [15:02] Supporting freshmen and sophomores with foundational skills [15:42] Hampton University and critical thinking as a student success priority [17:40] Why soft skills matter more in an AI-driven world [18:49] Building critical thinking resources beyond test prep [21:30] Supporting science courses and the medical school pipeline [22:43] The Illinois All Access initiative and statewide education equity [24:00] Supporting 17 Illinois institutions and saving students millions [24:43] How All Access can help first-generation and underrepresented students [25:27] Student and advisor feedback from the Illinois rollout [26:47] Coordinating across government, institutions, and education leaders [27:25] Why mission alignment helped move the Illinois initiative forward [30:06] Why All Access is one piece of a larger higher education puzzle [31:00] Personalizing student experiences and supporting future pathways [31:57] Why All Access complements universities rather than replacing them [33:24] Final thoughts on improving the student experience and expanding access

    34 мин.
  2. Stephen Garcia on BreachRX, Incident Response, and Managing Cyber Crisis Chaos

    -4 дн.

    Stephen Garcia on BreachRX, Incident Response, and Managing Cyber Crisis Chaos

    Stephen Garcia is helping BreachRX bring structure, governance, and accountability to one of the most chaotic moments any organization can face: a cyber incident. As Chief Information Security Officer at BreachRX, Stephen brings years of experience from the customer side of cybersecurity, including work across financial services, technology, gaming, and enterprise environments. BreachRX recently won a Fortress Cybersecurity Award for its cyber incident response management platform. In this episode, Russ and Stephen explore why most organizations have tools to detect and contain incidents, but often lack a governance layer for everything that happens once a technical event becomes an enterprise crisis. Stephen explains how BreachRX helps coordinate legal exposure, regulatory deadlines, communications obligations, executive accountability, and audit trails in real time. They dive into the new category of cyber incident response management, or CIRM, and why binders, conference calls, and manual call trees are no longer enough. Stephen shares what the first hours of a serious incident can look like from the inside, why chaos often emerges even when plans exist, and how organizations can prepare more effectively before the crisis begins. The conversation also covers RexAI, BreachRX’s generative AI engine built specifically for incident response, as well as Mobile Command, out-of-band communications, regulatory readiness, tabletop exercises, executive liability, and the company’s CIRM warranty. Along the way, Stephen discusses resilience, trust, accountability, legal timing, simultaneous incidents, enterprise risk, AI agents, board communication, and why the organizations that survive the next wave will be the ones that can compress the time between knowing and doing. Topics Covered: [00:01] Welcome and intro, Stephen Garcia and BreachRX’s Fortress Cybersecurity Award win [01:03] What BreachRX does and why cyber incidents need a governance layer [01:30] Moving from technical containment to enterprise crisis management [01:57] Why Stephen switched from the customer side to BreachRX [02:17] The importance of managing incident chaos [03:54] What the first four hours of a serious incident can look like [04:14] Why preparation, logging, and lessons learned matter [07:05] Why response plans often fall apart under pressure [07:59] Handling multiple simultaneous incident inputs [09:29] BreachRX as a coordination layer and incident response fabric [09:46] Out-of-band communications during ransomware and major disruptions [10:30] Pulling in the right teams, including legal, at the right time [11:00] Why slowing down can help organizations speed up [12:52] Building governance structures before a crisis begins [14:19] What convinced Stephen that the BreachRX platform worked [15:20] Regulations, legal workflows, and global response requirements [16:42] Using tabletop exercise budgets to bring BreachRX into an organization [17:49] Why gaps and leaks can kill incident response [20:34] Why BreachRX’s warranty turns software into a trust decision [21:04] RexAI and purpose-built generative AI for incident response [21:35] How RexAI guides responders in high-pressure environments [22:18] Mobile Command and managing incidents from anywhere [24:03] Compressing the time between knowing and doing [24:22] How AI changes the incident response landscape [25:18] Expanding the definition of an incident beyond major breaches [25:40] Why IT, security, and business risk are increasingly connected [27:20] Security as trust management [28:00] What CEOs and boards should understand before the next breach [28:58] Final thoughts on BreachRX, response coordination, and cyber resilience

    29 мин.
  3. Avi Kedmi on SysAid, Agentic AI, and Transforming Customer Service

    -6 дн.

    Avi Kedmi on SysAid, Agentic AI, and Transforming Customer Service

    Avi Kedmi is helping SysAid rethink what customer service can look like in the age of AI. As CEO and Founder of SysAid, Avi leads a global IT service management company serving mid-sized clients in more than 100 countries. SysAid recently won an Excellence in Customer Service Award for its transformation of customer care using its own AI-driven tools, systems, and processes. In this episode, Russ and Avi explore how SysAid improved CSAT from 68 to 93, reduced detractors by 94 percent, cut escalations, reduced P1 incidents, shortened call times, and increased frontline resolution rates. Avi credits Asaf Goldstein and the care and support team for leading much of the transformation. They dive into what it means to become an agentic organization. Avi explains why companies need more than chatbots to make AI work. They need a strong data foundation, broad API access across systems, governance, monitoring, guardrails, and smart people in the middle who can identify and deploy high-value agentic use cases. The conversation also covers how SysAid uses AI to detect patterns, summarize issues, route tickets, identify unhappy customers, alert customer success teams, and help support teams act faster. Avi shares why the company is focused on using AI for work that is “unhuman,” while making human interactions more personal, compassionate, and meaningful when they matter most. Along the way, Avi discusses AI adoption, change management, employee training, customer empathy, proactive support, the future of IT service management, and why AI should help people do more, not make them feel replaced. Topics Covered: [00:01] Welcome and intro, Avi Kedmi and SysAid’s Excellence in Customer Service Award win [00:35] What SysAid does in IT service management [01:21] AI, uncertainty, and the biggest priorities for SysAid’s leadership team [02:00] How AI is redefining what can be built and how fast [02:45] Product AI, customer adoption, and building trust around AI [03:20] What it means to transform into an agentic organization [03:41] Helping employees adopt AI while feeling valued [04:55] SysAid’s customer service transformation results [06:07] Giving credit to Asaf Goldstein and the support leadership team [06:45] The two foundations of an agentic organization [07:10] Why the data lake strategy has changed in the AI era [07:50] Why systems need broad API and MCP access [09:46] How SysAid prioritized which AI use cases to tackle first [10:08] Using correlation to understand what drives detractors and poor CSAT [11:26] Why some support tasks are “unhuman” and ideal for AI [12:33] Why SysAid chose agentic AI instead of only building chatbots [13:08] The difference between chasing chatbots and controlling the AI beast [13:45] AI certainty thresholds and fast human failover [14:42] Connecting support, customer success, R&D, leadership, and product [15:02] Breaking silos with AI across the company [16:15] How support teams adapted to new AI tools and workflows [17:39] Why fast human response matters when AI falls short [18:26] Making AI-supported service feel more personal and compassionate [19:02] Adding agent names, photos, and human identity into customer interactions [20:41] How SysAid’s culture changed through the AI transformation [20:52] The pace, pressure, and opportunity of becoming an AI-first organization [22:15] What Avi learned about change management [23:49] The future of predictive and preventative support [24:11] How AI could resolve bugs and tickets end to end [26:18] How customer service may look three years from now [27:00] Why there may be fewer tickets in the future [29:37] Final thoughts on SysAid’s transformation and award recognition

    30 мин.
  4. Dr. Tina Srivastava on Badge, Secretless Authentication, and Trust in the AI Era

    25 июн.

    Dr. Tina Srivastava on Badge, Secretless Authentication, and Trust in the AI Era

    Dr. Tina Srivastava is helping Badge rethink authentication for a world where humans, machines, and AI agents all need to prove they are who they say they are. As Co-Founder of Badge Inc., Dr. Tina is working to eliminate stored secrets from authentication and create a more secure root of trust for identity. Badge recently won a Fortress Cybersecurity Award for its work building a trust layer for the AI era. In this episode, Russ and Dr. Tina explore why traditional authentication has become so frustrating and vulnerable. Passwords, passkeys, push notifications, knowledge-based questions, stored biometric data, and static credentials all create risks, especially as AI makes phishing and impersonation attacks more convincing. They dive into Badge’s secretless authentication model and how the company allows users to derive a cryptographic key on the fly without storing private data in a central database. Dr. Tina explains how her background in national security and the Office of Personnel Management breach, which exposed millions of fingerprints, shaped the belief that people should not have to give up private data just to prove who they are. The conversation also covers fuzzy extraction, biometric privacy, zero standing privileges, workload authentication, and the growing need to authenticate AI agents safely. Dr. Tina explains how Badge can help ensure that agents only receive the permissions they need, only when they need them, and only when the verified human authorizes the task. Along the way, Dr. Tina discusses phishing-resistant authentication, agentic AI, identity without secrets, OEM partnerships, Badge as an embedded trust layer, and why authentication must become more seamless, private, and secure if people and companies are going to fully trust AI-powered systems. Topics Covered: [00:00] Welcome and intro, Dr. Tina Srivastava, Badge Inc., and the Fortress Cybersecurity Award win [00:25] Why authentication has become more complicated and more important [00:50] How Badge turns authentication on its head [01:31] The founding insight behind Badge and identity without secrets [01:48] The OPM breach and why stored biometric data creates lasting risk [02:43] Zero knowledge authentication and proving identity without stored secrets [03:24] Deriving keys on the fly and making the user the root of trust [04:28] What the user experience looks like without passwords [04:42] Supporting face, fingerprint, context, device characteristics, and PIN factors [05:20] Multi-factor authentication for workloads and removing static API credentials [05:50] Why agentic AI creates new permission and access challenges [06:37] What biometric fuzzy extraction means for privacy [07:33] Using fuzzy inputs to derive precise cryptographic keys [08:00] How agentic AI changes authentication and attack surfaces [08:31] Why AI makes phishing attacks more personalized and harder to detect [09:30] Using Badge to verify human approval before agents take sensitive actions [10:50] Zero standing privileges for AI agents [11:20] Giving agents temporary permissions only when authorized [12:13] Governance layers for employees and AI systems [13:08] Badge as an embedded “Intel inside” authentication layer [13:49] Working with existing identity providers and enterprise systems [14:12] Badge’s partner ecosystem and complementary integrations [15:31] Growth through OEM and embedded trust relationships [16:17] Authenticating humans, machines, and AI agents [16:55] Why AI agents should be treated like new employees that need guardrails [17:37] What happens if trust erodes in AI systems [18:20] Making secure access seamless across devices, systems, and environments [19:28] Final thoughts on authentication, quantum complexity, and the future of trust

    20 мин.
  5. Theresa Bui on SymphonyAI Eureka and Enterprise AI at Scale

    23 июн.

    Theresa Bui on SymphonyAI Eureka and Enterprise AI at Scale

    Theresa Bui is helping SymphonyAI bring operational AI into some of the world’s largest enterprises. As CMO of SymphonyAI, Theresa works across a company serving customers in retail, financial services, manufacturing, enterprise IT, and media. SymphonyAI recently won three AI Excellence Awards for products built to help companies deploy AI at scale. In this episode, Russ and Theresa explore what makes SymphonyAI a vertical AI company and why that matters for enterprise adoption. Theresa explains how the company enters industries with prebuilt agents, ontologies, and models that already understand industry-specific workflows, allowing customers to move from implementation to use cases much faster than traditional horizontal AI platforms. They dive into Eureka, SymphonyAI’s foundational platform for enterprise AI. Theresa walks through its three core layers: shared industry context through domain knowledge graphs, adaptive orchestration that applies the right AI tool to the right workflow, and governance from day one so every decision point can be logged, reviewed, and trusted. The conversation also covers how Eureka works in real-world environments, from industrial manufacturing and predictive asset management to financial services investigations. Theresa shares examples of agentic AI detecting a worn part, checking inventory, creating a work order, and scheduling maintenance within minutes, as well as helping banks reduce investigation time while keeping humans in the loop. Along the way, Theresa discusses AI sovereignty, data ownership, human oversight, regulatory trust, scaling beyond pilots, and why the hardest part of enterprise AI is often not proving it works once, but making it work across hundreds of plants, workflows, and business units. Topics Covered: [00:01] Welcome and intro, Theresa Bui, SymphonyAI, and the AI Excellence Awards wins [01:23] What SymphonyAI does as a pure play AI company [02:00] Why SymphonyAI defines itself as a vertical AI company [02:30] Horizontal AI versus vertical AI in enterprise deployments [03:00] Prebuilt agents, ontologies, and models for industry-specific use cases [03:46] How Eureka supports enterprise AI deployment [04:20] Eureka’s three foundations: context, orchestration, and governance [04:40] Domain knowledge graphs and shared industry context [05:25] Adaptive orchestration and using the right AI tool for each workflow [06:00] Governance, audit trails, and trust in regulated industries [07:20] How Eureka powers industrial manufacturing use cases [08:00] Predictive asset management, process optimization, and frontline worker workflows [08:25] Agentic AI example: worn part detection, inventory checks, work orders, and maintenance scheduling [10:08] Perceive, reason, act and giving AI a structured path to solve problems [10:48] Human in the loop controls and tolerance thresholds [11:20] SymphonyAI Risk Intelligence for financial services investigations [12:00] How banks can adjust oversight as AI earns trust [13:14] How AI learns from human overrides and decision nuance [14:01] What AI sovereignty means in enterprise environments [15:00] Data ownership, private tenants, hosted environments, and competitive advantage [16:35] Why sovereign AI can become a company’s proprietary IP [18:05] What enterprise leaders misunderstand about AI implementation [18:36] Why scaling AI is harder than running a successful pilot [19:20] The challenge of deploying across many plants, lines, and use cases [20:00] Why data normalization and shared ontologies matter for scale [20:48] Comparing AI deployment to outsourcing processes and documenting workflows [21:30] Final thoughts on SymphonyAI’s growth, awards, and enterprise impact

    21 мин.
  6. Paul Mander on Optery, Data Brokers, and Reducing Social Engineering Risk

    18 июн.

    Paul Mander on Optery, Data Brokers, and Reducing Social Engineering Risk

    Paul Mander is helping businesses reduce one of the fastest-growing cybersecurity risks: exposed personal data. As Chief Commercial Officer for Optery for Business, Paul works with enterprises to remove employee data from data broker sites and reduce the information available to threat actors. Optery recently won a Fortress Cybersecurity Award for its work helping organizations protect people, executives, and teams from AI-enabled social engineering attacks. In this episode, Russ and Paul explore what data brokers are, how they collect and sell personal information, and why exposed data has become a major enterprise security issue. Paul explains how personal details like phone numbers, home addresses, family connections, organizational charts, and email addresses can be used to create more convincing attacks. They dive into how Optery scans data broker sites, finds exposed profiles, submits opt-out and deletion requests, and verifies removals with screenshots, links, and proof inside the platform. Paul also explains why this is not a one-time cleanup, since data brokers constantly rebuild profiles, rebrand, resurface data, and create new exposures. The conversation also covers how AI has changed the threat landscape by making social engineering faster, cheaper, more personalized, and easier to scale. Paul shares why IT, finance, HR, and executives are common targets, why BYOD policies create additional risk, and why CISOs are increasingly treating personal data removal as part of the cybersecurity stack. Along the way, Paul discusses data broker directories, human plus machine workflows, enterprise attack surfaces, employee privacy, consumer control, open web data, and why removing exposed personal data is becoming a proactive defense against the next generation of cyberattacks. Topics Covered: [00:01] Welcome and intro, Paul Mander, Optery for Business, and the Fortress Cybersecurity Award win [00:41] What Optery does and how personal data removal works [01:15] Why data brokers create risk for enterprises [02:11] How exposed data enables social engineering attacks [03:12] Why IT, finance, HR, and executives are major targets [04:20] Selling personal data removal as an enterprise security solution [04:51] How CISOs are starting to treat exposed employee data as attack surface [05:40] Why phone numbers and personal devices can create breach risk [06:16] BYOD, personal phone numbers, and compromised devices [07:12] Why this attack surface has been overlooked [08:00] How AI has made social engineering easier to launch and scale [09:30] Moving from reactive employee training to proactive data reduction [10:21] Why data removal is never fully finished [10:45] How data brokers rebuild profiles and relist information [11:39] Data broker rebrands, shell companies, and whack a mole removals [12:16] How Optery proves what it found and what it removed [13:31] Why executive exposure can make the risk feel real [14:06] What Paul has seen in exposed personal data [15:27] Why AI search changes how people should think about exposure [16:06] Why new data appears constantly [16:22] Why Optery uses humans plus machines for removals [17:02] Why professionals may want visibility but still need control [19:24] Why Optery open sourced its data broker directory [20:31] Where the personal data removal industry is headed [21:01] Why data removal may become part of the cybersecurity stack [22:00] Consumer control, privacy laws, and where personal data goes next [22:43] Why personal data removal is more like an ongoing insurance policy [23:19] Why exposed data requires proactive monitoring [23:57] Final thoughts on social engineering, personal data, and cybersecurity risk

    25 мин.
  7. Katy Irving and Rory Mitchell on AI Avatars in Healthcare Research

    16 июн.

    Katy Irving and Rory Mitchell on AI Avatars in Healthcare Research

    Katy Irving and Rory Mitchell are helping HRW, Healthcare Research Worldwide, explore a new way to understand one of the most important moments in healthcare: the doctor patient consultation. HRW recently won an AI Excellence Award for its work using interactive AI avatars to simulate consultation conversations in pharmaceutical market research. In this episode, Russ, Katy, and Rory explore why real doctor patient conversations are so difficult to study. Katy explains how those moments inside the consultation room are often the “holy grail” for pharma and medtech companies because they reveal how doctors ask questions, how patients describe symptoms, and how treatment decisions begin to take shape. They dive into HRW’s AI avatar project, which uses an avatar to play one side of the consultation while a real doctor or patient interacts with it. The goal is not to replace clinicians, but to create a more realistic research simulation that can uncover the actual language, questions, concerns, and behaviors that emerge in healthcare conversations. The conversation also covers the technical and ethical challenges of building avatars that behave like doctors or patients. Rory shares how the team had to carefully limit the doctor avatar to avoid medical advice, while also giving patient avatars enough personality, emotion, and realism to feel believable without becoming unpredictable. Along the way, Katy and Rory discuss avatar bugs, emotional realism, patient trust, the uncanny valley, self-funded innovation, conference reactions, cross-functional teamwork, training applications, and how AI avatars could help researchers, clients, and healthcare teams better understand the conversations that shape patient care. Topics Covered: [00:01] Welcome and intro, Katy Irving, Rory Mitchell, HRW, and the AI Excellence Award win [00:43] What Healthcare Research Worldwide does in pharma and medtech research [01:00] Why doctor patient consultations are so valuable to understand [01:30] Why real consultations are difficult to simulate in research [02:00] Using interactive AI avatars to play one side of a consultation [02:39] Why old research workarounds often fell short [03:06] Compliance, ethics, and brand-specific consultation simulations [04:22] Building doctor and patient avatars with different guardrails [04:46] Why the doctor avatar had to avoid medical recommendations [05:30] Creating patient avatars with personality, history, and emotion [06:30] Testing, refining, and “parenting” the avatars into better behavior [08:45] Why consultation insights matter for pharma strategy [10:03] What HRW underestimated when building the avatar experience [10:27] Platform bugs, delayed answers, and strange conversation paths [13:23] How HRW defined success in a self-funded proof of concept [14:30] The first successful doctor and avatar interaction [15:32] How patients reacted to avatar doctors [16:00] Testing different tones, including neutral, empathetic, and friend-like avatars [17:07] Why HRW shared failures and funny moments with the industry [19:25] The line between realistic enough and misleadingly real [20:33] Why HRW is not trying to replace doctors or nurses with avatars [21:55] How the cross-functional team shaped the project [23:36] Combining technology, behavioral science, and patient research perspectives [24:33] Future uses for AI avatars beyond consultation simulation [24:44] Using avatars as interactive research deliverables for clients [25:30] Training applications for medical and professional conversations [26:26] Using doctor avatars to understand product language and peer conversations [26:57] Final thoughts on AI avatars and the hidden world of healthcare research

    27 мин.
  8. Oli Ostertag on PAR Technology, Coach AI, and Smarter Restaurant Operations

    8 июн.

    Oli Ostertag on PAR Technology, Coach AI, and Smarter Restaurant Operations

    Oli Ostertag is helping restaurant and convenience store operators use AI to improve performance without losing the human side of hospitality. At PAR Technology, Oli works on enterprise technology for restaurants and C-stores, supporting operations, loyalty, payments, engagement, and point of sale systems across more than 150,000 sites. PAR recently won a BIG Innovation Award for its work bringing AI into restaurant operations. In this episode, Russ and Oli explore why restaurant technology is becoming more connected, more data driven, and more important in a market where margins are tight and value wars are really price wars. Oli explains how AI can help operators play both offense and defense, increasing revenue while improving labor, inventory, pricing, and operational efficiency. They dive into Coach AI, PAR’s AI product designed to help operators understand store performance, spot waste, and make better decisions in real time. Oli shares why the performance gap between the best and worst stores can be massive, and how better data context can help more locations operate like the strongest ones. The conversation also covers why AI must be built into restaurant workflows instead of bolted on afterward. Oli discusses context equity, data integrity, hallucination risk, enterprise rollout challenges, and why AI should enhance people rather than replace the hospitality experience. Along the way, Oli discusses restaurant loyalty, franchise operations, pricing agents, fraud agents, kiosks, international adoption, operator training, and why the best restaurant technology should stay out of the way so food and people remain at the center. Topics Covered: [00:01] Welcome and intro, Oli Ostertag and PAR Technology’s BIG Innovation Award win [00:35] What PAR Technology does for restaurants and convenience stores [01:36] Why restaurant systems are often disconnected [02:22] Context equity, data integration, and enterprise restaurant complexity [03:58] Operator products, engagement products, and the PAR technology stack [04:20] How Coach AI helps operators understand performance in real time [05:00] The gap between top performing and underperforming stores [05:45] Moving from ask and answer AI to self-driving store optimization [06:42] Automated offers and AI-driven marketing campaigns [07:22] Closing the gap between technology rollout and real outcomes [08:21] AI fatigue and why outcomes matter more than AI hype [09:44] Data integrity and the importance of clean, connected systems [10:19] Playing offense and defense in restaurant operations [11:39] Value wars, price wars, and inventory-driven promotions [12:19] Using AI to optimize inventory, staffing, and profitability [13:54] Why PAR built AI into the operator engine instead of bolting it on [14:22] Built-in AI, context equity, and learning from workflow data [15:26] What PAR learned from enterprise restaurant customers [15:47] Avoiding hallucinations in high-stakes restaurant operations [17:31] Moving from manager insights to operator agents [18:39] Where Coach AI and PAR’s agent strategy go next [19:20] Pricing agents, fraud agents, and future restaurant AI use cases [20:20] Why AI should make people more effective, not replace hospitality [23:12] How younger consumers engage with restaurant apps and loyalty [23:38] How AI adoption differs across global restaurant markets [25:19] What the first week with Coach AI needs to prove [26:06] Training, services, and natural language usability for operators [27:04] Product lessons for AI builders in other industries [28:30] Why usage rates matter after the enterprise contract is signed [29:18] Final thoughts on better operations, better food, and smarter restaurant technology

    30 мин.
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Winners’ Circle is where award winners and volunteer judges step out from behind the recognition and tell the stories that made the win matter. Hosted by Business Intelligence Group, each episode brings together the people behind standout work in cybersecurity, customer service, sales, marketing, sustainability, AI, innovation, and business excellence. Our guests share what they built, what they learned, what changed after being recognized, and how their teams turned achievement into momentum. You will hear from winners who used recognition to build credibility, open doors, strengthen team morale, earn customer trust, and create new growth opportunities. You will also hear from judges who have reviewed countless nominations and know what separates a strong story from a forgettable one. These are not acceptance speeches. They are honest conversations with the people doing the work. Winners talk about the campaigns, products, decisions, setbacks, breakthroughs, and lessons that shaped their success. Judges share what stands out, what gets overlooked, and how companies can tell clearer, stronger stories about their impact. For companies, Winners’ Circle offers practical ideas for turning recognition into real business value. For leaders and teams, it highlights the people behind the results. For marketers and PR pros, it shows how awards can become more than a headline. Pull up a chair in the Winners’ Circle. This is where winners and judges tell the stories behind the recognition.

Информация

  • Автор
    Business Intelligence Group Winners' Circle
  • Годы выхода
    2025 - 2026
  • Выпуски
    86
  • Ограничения
    Без ненормативной лексики
  • Авторские права
    © 2025 Business Intelligence Group Winners' Circle