Tag: AItech Interview

Roy, could you start by sharing your journey from your role in Israeli cyber defense to co-founding Rezonate and your vision for the company?

Yes, thank you for the opportunity to share. I headed Israeli Cyber Defense Operations, where I was responsible for defending Israel’s critical infrastructure and public companies against cyber attacks, cyber terror, and digital espionage. My mission during over 20 years of service was to develop cutting-edge technology and lead cyber defense operations. I was also part of the founding team of NISA, Israel’s equivalent of the NSA, and established alliances with numerous countries and business partners.

I moved to Boston eight years ago to pursue my MBA at MIT Sloan. Following that, I served as the VP of Product Incubation at Cybereason. I founded three market-changing lines of business, including Cybereason’s flagship XDR product and its strategic partnership with Google Cloud. My journey has always been about pushing boundaries and innovating in cybersecurity around new challenges. When we realized that identity was the new perimeter in security operations, we saw that organizations still struggle to protect it. We had many ideas for revolutionizing identity security technology, so we started Rezonate.

What do you see as the most pressing issues currently facing identity access management, and how are these challenges impacting enterprises?

The shift to the cloud has been monumental, even accelerating during economic downturns for cost-saving and efficiency. Traditional endpoint and network-centric security needed to evolve to include cloud-forward environments. Users and machines have become the new focal points for both defenders and attackers. With 85% of attacks stemming from compromised identities, legacy systems cannot sufficiently protect them. That’s why my partner, Ori Amiga, and I saw a unique opportunity to challenge these outdated approaches on both the cybersecurity and identity and access (IAM) sides with an innovative identity-centric security solution, leading to the founding of Rezonate.

Can you explain the role of identity security posture management (ISPM) and its importance in today’s security landscape?

Identity security posture management is critical for reducing your identity attack surface. Understanding what your security controls are, monitoring identities to ensure they have the least privileged access, and being able to remediate access automatically when a risk or threat is detected. ISPM helps you identify and prioritize high-risk identities: Spots accounts with excess privileges, dormant accounts, misconfigured access, and elevated risk profiles. Posture management also streamlines the remediation process. Implementing ISPM supports regulatory compliance, enhances audit performance, and ensures effective policy enforcement. It also helps organizations to continuously monitor security issues and enforce best practices and policies.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-roy-akerman/

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Welcome Frederik, could you tell us more about your role at BeCause and how your journey has shaped the company’s mission?

As the CEO of BeCause, I focus on how our AI-powered technology platform fits into the larger narrative of advancing hotel sustainability across the broader travel and tourism sectors. Part of my role is facilitating the connections between BeCause and key industry players to create a global ecosystem where reliable, and trustworthy, sustainability data flows seamlessly between hotels and tourism companies, regulatory bodies, booking platforms, eco-certification issuers, industry organizations, and ultimately, travelers.

When we launched BeCause, our goal was to provide hotels with a more efficient, cost-effective, and transparent way to collect and share their sustainability data. This enables them to a) Reduce the time and cost required to get certified — currently, the main way hotels substantiate sustainability claims and showcase their sustainability credentials; and b) Give the growing number of consumers seeking sustainable accommodations easy access to that information.

As the only company on the market focused on solving the specific challenges hotels and tourism companies face in managing their sustainability data, we have emerged as the standard for data exchange. This is especially significant given where we are in our journey as a company. While the flow of sustainability data might not seem particularly exciting, it is central to modern corporate decision-making and, increasingly, financial operations.

Effective data management processes allow hotel leaders to make the innovative sustainability investments required to reduce the industry’s carbon footprint. Within this context, part of my role is to represent this standard, so I participate in organizations such as the Climate Committee at the Danish Industry Federation.

In terms of how my journey has shaped the company’s mission, I think it’s at the heart of what we do. Growing up in Oman, I witnessed the degradation of coral reefs firsthand, much of it caused by tourism. This experience left a lasting impact on me.  Like many, I love to travel and explore the world, but that passion shouldn’t come at the expense of our planet. Opting for more sustainable accommodations is one way we can reduce the harmful effects of travel, but before BeCause consumers lacked a verifiable way to identify which properties were truly committed to protecting the environment.

Professionally, I come from the world of management consulting, so I’m equally at ease with diving into the granular details while maintaining a big-picture perspective – crucial skills for a CEO.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-frederik-steensgaard/

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Danielle, you have an impressive background in both academia and professional services. Could you start by sharing your journey and what led you to your current role at Caseware as VP, Head of Analytics and AI?

My journey to my current AI and analytics role at Caseware hasn’t been typical, but it has given me the perfect balance of expertise to understand our customers, who are auditors and accountants looking to use technology to improve their daily workflows. At the beginning of my career, I followed my mother’s advice to take an accounting class in college. She insisted that understanding financial matters was crucial, no matter what career path I chose.

Once I entered the accounting world, I followed a fairly traditional career path. I also went on to earn a Master of Science in Accountancy from the University of Virginia. However, I found that while I can understand and work within traditional accounting frameworks, I also bring a different, non-linear approach to problem-solving, which ultimately led me to the world of software, analytics, and AI within the accounting industry.

My ability to bridge the gap between traditional accounting and innovative technologies has definitely positioned me well for my current leadership role at Caseware, and I am enjoying leveraging both my accounting expertise and my unconventional thinking to drive advancements in analytics and AI for our customers.

AI is transforming many industries, but why do you believe professional services, particularly audit and accounting, are uniquely positioned to benefit from AI advancements?

Our profession is highly regulated with an exceptionally high expectation for precision. This has historically made it difficult to adopt new technologies, as we can’t afford to ‘fail fast’ in auditing. The complex, judgment-intensive tasks we perform are not conducive to automation through previous technological innovations. As a result, the accounting profession has often been perceived as a technology laggard, not due to unwillingness, but because of the stringent requirements for reliability and accuracy in our work.

Generative AI represents a fundamental shift. Unlike previous technologies that focused primarily on automation, generative AI is designed to work alongside humans to enhance our capabilities rather than replace them. This aligns well with our existing processes, which already incorporate extensive human review and validation.

What are some common misconceptions about AI in the context of professional services, and how can these be addressed?

AI, like human professionals, isn’t perfect, and that’s why it’s essential to have a robust review process in place. The misconception that all AI is a ‘black box’ and therefore is categorically unusable is simply not true. Standards, including new International ethical guidelines, recognize the potential of AI and provide frameworks for responsible use. It’s not about avoiding AI entirely, but rather about ensuring proper oversight and validation to make the most of its capabilities to underpin the stability of markets in the best way we can.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-danielle-supkis-cheek/

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Dev, can you start by sharing the journey that led you to establish QueryPal and what inspired you to focus on transforming customer support through AI-powered ticket automation?

The journey to QueryPal began with my experiences at Google and PayPal, where I saw firsthand the challenges of scaling customer support. I realized that while AI was transforming many industries, customer support remained largely unchanged. The inspiration came from seeing how Large Language Models (LLMs) could understand and generate human-like text. I knew we could leverage this technology to revolutionize customer support, making it more efficient and effective. QueryPal was born from the vision of creating an AI system that could understand customer inquiries at a deep level and provide accurate, helpful responses at scale.

How has AI enhanced the accuracy of customer support responses at QueryPal, and what role does it play in improving response times and customer satisfaction?

AI has dramatically enhanced the accuracy of customer support responses at QueryPal. Our advanced natural language understanding allows us to comprehend the nuances of customer inquiries, including context and intent. This leads to more precise and relevant responses. Moreover, our AI can access and synthesize information from vast knowledge bases in seconds, providing comprehensive answers faster than any human could. This improvement in both accuracy and speed has led to significant increases in customer satisfaction scores for our clients. We’re also in the early stages of researching Causal AI, which could enable our system to understand cause-and-effect relationships in customer issues, potentially allowing it to reason about novel situations it hasn’t explicitly seen in training data.

Personalized customer support is a significant advancement in customer service. Can you explain how AI-powered systems at QueryPal tailor responses to individual customer inquiries?

Personalization in QueryPal’s AI system operates on multiple levels. First, it considers the customer’s context, including channel metadata. Second, it analyzes the specific language and tone of the current inquiry. Finally, it takes into account how past responses for similar questions have satisfied customers. By combining these factors, our AI can tailor responses that not only answer the specific question but also address potential underlying concerns, use appropriate language and tone, and even anticipate follow-up questions. Personalization in QueryPal’s AI system is already advanced, but we’re excited about the potential of Agentic AI. We’re in the process of integrating this technology, which could allow our system to handle complex, multi-step tasks with minimal human specification. In the future, it might be able to understand the broader context of a customer’s journey, anticipate needs, and even take proactive steps to resolve issues before they escalate.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-dev-nag/

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Yashin, to kick things off, could you share what inspired you to transition from a career in academia and engineering to founding Pvotal Technologies?

Growing up, I thought a lack of proper education was the root of many societal issues and inefficiencies.

Idealistically, I entered academia thinking I could become a professor who would nurture the issues leading to a wavering generation of talent, innovation, and development. Unfortunately, I quickly realized how some processes were limiting, stifling, and stuck in an antiquated age.

I could not build or address problems I saw in my niche field due to software issues, data breaches, the high cost of licensing fees for some critical tools, and the poor integration of tools. These issues led me to lose thousands of hours in frustration fixing technical problems rather than focusing on my growth, thesis, and research. The tools I used became a greater source of frustration than my research, constantly distracting me from my objectives.

My skills and resolve were too limited to reform academia from within, so I decided to focus on the issues within the software industry to limit the problems that more talented academics faced. I co-founded Pvotal with Ashley to build a new generation of solutions that helped customers focus on the value they bring to customers rather than get stuck in an iterative cycle of integrating code and debugging updates.

Pvotal emphasizes creating “Infinite Enterprises.” Could you explain what this concept entails and how it aligns with your overall mission?

While many industries have adopted different interpretations of the ideal Infinite Enterprise, we believe the “infinite enterprise” is any company that has achieved an infinitely scalable, independent, resilient, and secure infrastructure. Once these criteria are met, we observed that it allows businesses to truly innovate, improve, and elevate their value proposition to customers.

The age-old adage of teens or some fresh graduates going into “founder mode” can build the next generation of software in their proverbial garage, shared workspace, or dorm room is simply no longer possible.

The rise of hyperspecialization, wanton integration of third-party code or vendors, and the unmanaged accumulation of technical debt has led most software companies to become antiquated, vulnerable, and overbloated pieces of code that can no longer efficiently protect their customers’ data, provide a competitive edge to their users, and have a reasonable cost/utilization footprint.

Most modern enterprise software has at least 17 paid or free SaaS, PaaS, and third-party code powering its operation or development. With a tough economy, inflation, and squeezed supply chains, these different services are forced to raise prices continually, thus shifting the burden on the end consumer. In addition to the increasing costs, these software are often abandoned or introduce vulnerabilities to the enterprise supply chains, which is why we have experienced a record-breaking number of successful cyberattacks, ransomware, and fraud every year for the past decade.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-yashin-manraj/

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Can you tell us about your journey as CEO and co-founder of Corti?

Corti was founded in 2016 in Copenhagen by Lars Maaløe and me. Lars, with his PhD in machine learning, and my experience as a multi-entrepreneur in AI from Scandinavia to Silicon Valley, has made for a solid partnership. We’ve always been driven by a belief in AI’s transformative potential for healthcare. We started Corti as a research company, with a bold thesis that Generative AI would become an integral part of every patient interaction in real time. At the time, this was a radical idea, but it has since proven to be viable. Initially, we focused on emergency medicine, assisting in detecting cardiac arrests and managing COVID-19 calls. Today, we are building the most reliable and effective Generative AI platform tailored to healthcare’s unique needs, scaling globally to enhance real-time consultations across healthcare and reducing the margin for error by up to 40%.

What inspired you to focus on healthcare technology, and how does your personal connection influence Corti’s mission and innovation?

From day one, we’ve been driven by the desire to reduce disparities in healthcare. Our vision is that everyone, everywhere, should have access to medical expertise. The uncomfortable truth is that millions of healthcare professionals are missing, and this gap is widening. From a young age, I saw firsthand the impact of overburdened healthcare systems on patients, which inspired me to seek a solution. That’s what drives me every day – to think that, thanks to Corti, a patient somewhere might get more time with their doctor, or avoid a misdiagnosis that could have been life-altering.

Could you provide an overview of Corti’s solutions?

Corti offers an AI-powered platform that enhances decision-making across the entire patient journey. Our AI provides a “second opinion” and integrates seamlessly into nearly any system, enabling healthcare professionals to quality assure, journal, code, nudge, prompt, and document every patient interaction. This drastically improves care, documentation, and revenue through expert guidance and support. We know there is no one-size-fits-all in healthcare, so Corti is fully customizable. It fits effortlessly into any workflow, effectively becoming the easiest employee you’ve never hired – no downtime, no breaks. With Corti, healthcare professionals save an average of two hours of documentation time per day and up to 80% on administrative tasks, freeing them to focus more on what truly matters: patient care.

What are the core values that Corti is built upon, and how do they guide the company’s objectives and mission in revolutionizing healthcare?

At Corti, we believe that everyone is a patient at some point, and we strive to support those who care for us when we need it most. Working at Corti means being committed to making the healthcare system better for all. Our team is driven by this belief – that we can and must do more to support caregivers. This mindset fuels us to go above and beyond, embracing challenges, staying curious, learning from failure, and waking up every day ready to try again.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-andreas-cleve/

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Chase, please tell us about your background and what brought you to your role as Principal Strategist at JumpCloud.

I’ve spent over a decade in the tech industry, in cloud computing and cybersecurity. Over that time, I’ve been able to indulge my passion for all things identity-related and JumpCloud has been a perfect fit.  JumpCloud’s mission to simplify and secure IT management for businesses of all sizes— especially for the traditionally overlooked small and medium-sized enterprises (SMEs)—is unique, and I’d argue we’re uniquely good at it. My role is to help shape our product vision to ensure we’re meeting the evolving needs of our customers in an increasingly complex IT landscape.

How is AI currently impacting cybersecurity for small and medium-sized enterprises (SMEs)?

JumpCloud conducts a twice-yearly survey of IT admins (our most recent edition of the survey just came out in July), so we’ve been able to get a real-time pulse on how SMEs are adapting to AI.

The first time we asked about AI six months ago, there was a lot of excitement but also a lot of fear. What we’re seeing now is that while the optimism has faded a little, it’s still pretty strong. Most organizations – 67% –  have plans to implement AI initiatives and about the same number of folks have actually developed an AI policy–  a great first step toward a robust, intentional approach to AI in the workplace.

As to how AI is impacting cybersecurity for SMEs, it’s both positive and negative. On the positive side, AI-powered tools are enhancing threat detection and response capabilities, allowing SMEs to identify and mitigate potential security risks much more quickly and accurately than before. This is particularly beneficial for SMEs that lack the resources for large security teams. However, AI is also being used by bad actors in more sophisticated attacks. We’re seeing an increase in AI-generated phishing emails and adaptive malware that can evade traditional security measures. This duality around AI won’t be going away anytime soon, so SMEs need to embrace AI while developing protections against it.

Based on your recent survey, what best practices would you recommend for SMEs to enhance their cybersecurity in light of AI developments?

First and foremost, implementing strong identity and access management is crucial. This includes using multi-factor authentication (MFA) and adopting a least-privilege access model. We also found that employee training is more important than ever, given the increasing sophistication of AI-powered phishing attempts. SMEs are also responding by partnering with managed service providers (MSPs) to access expertise and capabilities that might otherwise be out of reach.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-chase-doelling/

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Sebastian, can you start by sharing your background and what led you to your current role as VP of Engineering at Storyblok?

My journey in the tech industry began with a deep interest in software development and a passion for creating innovative solutions. Over the years, I have held various roles in engineering and management, which have provided me with a broad perspective on technology and its applications.

Before joining Storyblok, I worked with several startups and established companies, focusing on building scalable and secure software solutions. My experience in these diverse environments has been instrumental in shaping my approach to engineering and leadership. With Storyblok, I was drawn to the company’s vision of transforming content management and the opportunity to lead a talented team in driving this innovation forward.

In what ways can generative AI be utilized to create malicious content such as phishing emails and social engineering attacks?

Generative AI can produce highly realistic and personalized phishing emails by analyzing vast amounts of publicly available data about potential targets. This allows attackers to craft messages that are more likely to deceive recipients into divulging sensitive information. Similarly, AI can generate fake social media profiles or impersonate trusted contacts, enhancing the effectiveness of social engineering attacks. The ability to produce high-quality, contextually relevant content at scale means that these AI-generated threats can bypass many traditional security filters designed to catch generic phishing attempts.

The current cybersecurity measures seem adequate. What specific measures do you believe are most effective against AI-driven attacks?

While current cybersecurity measures provide a foundation, they need to be enhanced to effectively counter AI-driven attacks. Key measures include advanced threat detection where AI and machine learning are used to detect and respond to threats in real-time, behavioral analytics, which is the monitoring of user behavior to identify deviations that may indicate compromised accounts. Zero Trust Architecture is also important which involves implementing a model where verification is required for every access request, regardless of its origin.

Keeping staff informed about the latest threats and best practices to mitigate human error are also key measures in reducing the threat of AI-driven cyber attacks as is Multi-Factor Authentication (MFA) where an extra layer of security is added to verify user identities.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-sebastian-gierlinger/

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Paige, kindly let our readers know how Seismic perceives the role of AI in evolving customer experiences and go-to-market (GTM) processes based on recent data.

At Seismic, we believe enablement is a mission-critical function that turns strategy into reality, and generative AI is creating an industry-defining moment for GTM and enablement teams. It is changing everything about the sales process, from prospecting to meeting preparation, content and presentation development, follow-up, training and performance tracking.

In fact, an overwhelming majority (93%) of enablement tech users acknowledge AI as the driving force behind their future investments. Based on this data, it’s evident that organizations neglecting to integrate AI into their GTM processes risk lagging behind and losing competitiveness in today’s industry, a sentiment echoed by 73% of respondents in our research.

What’s more: our customers know this to be true. In a Seismic customer survey, 65% of respondents cited AI as a primary reason for increased enablement investment. Specifically, they view Sales Content Generation & Optimization as the most valuable use cases to explore and implement for their teams. Over half (52%) are currently using or evaluating AI-powered tools within sales enablement processes, with 61% sharing that they are familiar with these tools to varying degrees.

Your report suggests a significant impact on both internal processes and customer experiences for businesses leveraging AI. How does Seismic observe this impact in terms of tangible ROI and enhanced customer engagement?

In addition to the clear revenue growth teams have witnessed, GTM leaders predict an average of 23% of that growth will be directly attributed to AI utilization over the next five years. In fact, 63% believe that AI is the primary force behind evolving customer experiences today. AI solutions are poised to touch nearly every corner of customer engagement.

For context, GTM leaders in the United States are leveraging AI-powered enablement tools for three primary functions: 53% utilize them for content analytics, 50% for content distribution, and 48% for learning and coaching. Businesses are experiencing significant benefits, with 91% of those who have implemented AI tools reporting an increase in customer satisfaction since integrating AI into their enablement processes.

How is Seismic addressing the gap in understanding how AI is used in GTM processes, and what educational initiatives or tools are being introduced without delving into specific numbers?

At Seismic, we work to consistently update our AI product offerings and tools to ensure they are meeting the needs of our customers and empowering them to build more strategic relationships, effectively engage with buyers, and speed up the entire buying process.

In fact, just last year we introduced an AI customer community, which is dedicated to sharing best practices, knowledge and strategies to seamlessly integrate AI into revenue teams’ operations. Additionally, we offer both the Seismic Advocacy Program and Seismic Community – two spaces for our customers to hear more directly from Seismic leadership about our products, as well as share with each other what they’re learning and doing with AI-powered enablement at their company.

To Know More, Read Full Interview @ https://ai-techpark.com/ai-transforming-gtm-processes/

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Mr. Kalif, we’re delighted to have you. Could you please tell us a bit about your professional journey? What inspired you to co-found ReasonLabs?

Before co-founding ReasonLabs, I spent years in the industry within R&D roles, working to develop products and systems that protect people. I joined forces with Andrew Newman to build ReasonLabs on the common belief that every consumer deserves to benefit from enterprise-grade protection. Until that point, the best cybersecurity had always been saved for large companies because companies thought they suffered the more dangerous threat. We knew that to be false – malware doesn’t discriminate between large corporate networks and home users. This led us to create ReasonLabs and embark on the mission of protecting every home worldwide.

For those who might not know, can you give a brief overview of ReasonLabs and how your products cater to today’s cybersecurity needs?

ReasonLabs’ mission is to provide home users with the same level of cyber protection that the world’s largest enterprises have. Malware and cyber attackers do not discriminate between corporations and home networks and everyone should be protected from next-generation threats.

Our flagship product, RAV Endpoint Protection, is the first consumer-focused cybersecurity product featuring Endpoint Detection & Response (EDR) technology. That plus our other products like RAV VPN and Online Security, combine to form a multilayered solution that safeguards home users’ privacy and digital identities.

How has AI changed the cybersecurity landscape, especially for consumers? Can you share some specific examples where AI has made a real difference?

Cyber-attackers leverage AI in all kinds of ways that affect consumers, but none more than with advanced phishing and social engineering attacks. It used to be fairly easy to recognize these threats, but AI has helped take them to new heights. From the security perspective, AI enables us to provide consumers with next-gen security, like our RAV Managed EDR technology. This EDR, with help from AI, helps us evaluate billions of data points and identify attacks against consumers in real-time, 24/7 protection.

Identity theft is a big concern for many people. How does ReasonLabs tackle this issue, and what innovative solutions have you come up with?

Identity theft is a huge problem that can wreak havoc on people’s lives. Providing identity theft defense is a core element in our cybersecurity suite and we do it through protection, detection, and remediation.  Consumers can look to the RAV Online Security browser extension to find these services.

Concerning protection, the extension prevents data leaks and secures against phishing attacks. By working with RAV Endpoint Protection’s EDR technology, the extension can detect next-generation threats including ransomware that can lead to identity theft. Insurance is offered as a means of remediation to ensure there is recourse if something does ultimately happen.

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-kobi-kalif/

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