Welcome, Emma!

Can you share the key milestones and experiences that have shaped your professional journey leading up to your current role as the SVP, Global Marketing at ThoughtSpot?

I actually started my career as a systems developer, which allowed me to cut my teeth around coding early on. At that point in time, Y2K was bringing a dramatic change to the technology market as we were trying to prepare our systems for a new era. It was through this lens I found my love for technology.

From there, I joined the early ranks of Salesforce – and this was at the rise of a movement called “no-software” as a way to position the power of cloud computing. We were creating a new model for SaaS and CRM that was unheard of at the time. From a marketing perspective, it was a true category creation and education exercise that included ‘consumerizing’ the cloud. Users wanted to have the same experience at work as they did at home with the consumer tools they came to love, such as Gmail, YouTube, and Amazon. The mission of Salesforce to own cloud computing gave me an appreciation of how important community is in brand building.

This experience led me to join Google Cloud in the very early days. My job there was the inverse – making consumer applications like Gmail and Google Maps more applicable to enterprises. This was a fascinating time to be there as Google was synonymous with its ads business and it was a new monetization path for them. The challenge for me as a marketer was to enter and compete in an existing productivity tools market where incumbents like Microsoft have been the primary email service, with Outlook for over 35 years. We had to build premium features for businesses, find change agents, and convince them to move to Google Apps for Work. It was a fun time!

Looking back, I see two key threads woven through my professional journey. First, from a strategic perspective, is the importance of data and analytics. As marketers, we have to be grounded in insights derived from data to determine the next best actions to take, for example, the right time to monetize products or features and when to sunset products. Second, from a creative perspective, I’ve worked in vast, competitive landscapes where the product I have marketed is the “underdog,” and the competitive stack is strong and difficult to penetrate. This presents the best opportunity for creative and fun marketing.

That’s what brought me to ThoughtSpot – we’re a disruptor, coming in with a new point of view and way of doing analytics, ready to transform the legacy business intelligence market. Lorraine Twohill, Google’s CMO, says, “to know the product, know the magic, and connect the two.” It helps to think about that philosophy in competitive marketing. Once I understood ThoughtSpot’s product and brand experience, I ‘knew the magic’ and could not look away.

What are some significant challenges marketing professionals have faced in 2023, and how have you effectively addressed and overcome those as a marketing leader?

The first, unsurprisingly, was economic volatility. As marketers, we have to be very clear about the problem we solve for customers and quickly quantify the value of what we’re providing. This is increasingly important in today’s market, where budgets are being reduced and tools are being consolidated. Many marketers understand that data provides a competitive advantage, but those insights are typically hard to get their hands on. We are happy to help our customers keep pace with compressed modernization by giving them the ability to make decisions based on data. Not only that, but marketers need data-driven tools to convince the CFO or financial decision-makers at their company of the right campaigns and resourcing. Tools like business value assessments and calculators are especially important to drive business decisions during these economic headwinds.

In line with the economy, cost reduction challenges and reductions in force can be very disruptive and unsettling – everyone feels it, directly or indirectly. In these cases, working on team morale and change management is important. Regroup teams, foster communication and teamwork, give people a sense of purpose (for example, through employee resource communities), and build and reform so nobody is left behind. Such a big part of our business today centers around bringing people together and rallying around the new normal. It’s crucial to encourage investments in well-being, both physical and mental health.

Third, we cannot ignore the generative AI wave. It’s not only impacting how we bring new features to life in our product but also the marketing investments we’re making to help customers. It’s helping us personalize at scale and appeal to some of our buyers in different ways – whether through understanding impactful tonality in email communications or supporting SEO at scale with writing assistance.

Finally, the changing nature of customer needs is always a challenge – albeit an exciting one. It is vital to keep engagement with our customers high. Luckily, at ThoughtSpot, all of our teams are encouraged to connect with our customers, at least on a monthly basis, to help us adapt to their changing needs and anticipate what’s next. We have programs in place to really understand the voice of our customers – from inviting them to our all-hands and company kick-offs to creating our customer advisory board.

What unique attributes differentiate ThoughtSpot from other vendors in the realm of AI-powered analytics platforms?

Since our founding, ThoughtSpot has worked toward a mission of creating a more fact-driven world; in doing so, we’ve pioneered AI-powered search for data. We recognize that generative AI and foundational language models have redefined how machines and humans interact and, in the process, unleashed a new era for the world of data. However, this also means that organizations face a new challenge in ensuring this ease of interaction doesn’t sacrifice specificity or accuracy in analytics.

Companies need a unique foundational background to make generative AI and large language models work in a real-world business context. In this new era of business intelligence, legacy analytics players like Tableau are way behind the starting line because they were never built with this kind of foundational structure. Large language models promise to make interacting and conversing with data easier than ever before, but doing so in a trustworthy and actionable way will require the kind of analytics platform we’ve spent a decade building.

On its own, GPT is unable to handle the complexity of real-world business data because it works by taking input from the search bar in natural language and generating a simple SQL statement. But by harnessing large language models like GPT and building machinery around it to make it work with enterprise data and analytics, ThoughtSpot Sage allows organizations to intuitively search analytical content and create charts and visualizations based on natural language search – all without sacrificing accuracy, reliability, governance, or security in the process. 

Which sources do you rely on to stay up to date with current marketing and business trends?

I’m an avid podcast listener, and my favorite is Marketing Against the Grain, hosted by HubSpot CMO Kipp Bodnar and Zapier CMO Kieran Flanagan. It’s a weekly podcast that covers everything from AI to cloud to market innovation to trends and what growth levers you can pull as a marketer to differentiate and stand out.

I’d be remiss not to mention The Data Chief, another pod on my download list hosted by Cindi Howson, ThoughtSpot’s chief data strategy officer. There, she interviews modern leaders and change agents from organizations such as Netflix and Mastercard. Her 30-minute interviews delve into all sorts of topics related to using data and analytics to solve business challenges and drive business results.

And generally, to stay ahead of trends as a marketer, we have to be culturally savvy and in tune with the latest zeitgeist. Being a curious consumer of content, especially on social media, allows me to have a finger on the pulse of the current market and be aware of trends we could tie into our marketing campaigns. Despite being a B2B brand, there are valuable lessons to learn from the consumer world on showing up as a brand in a fun and unexpected way. 

How does ThoughtSpot Sage harness the full potential of business data with its advanced search-driven analytics?

Too often, companies struggle to equip their workforce with data insights, leaving powerful decision-making tools siloed within analytics and IT teams. Companies have copious amounts of data, and while storing it has become more affordable in the cloud, allowing non-data experts to make use of that data continues to prove difficult. ThoughtSpot’s mission has been to democratize data so that anyone can ask their business questions and get answers from data like they would from a Google search.

Every kind of user – business user, data professional, or product builder – can use ThoughtSpot. We help get the right facts to the right people through AI-powered analytics via natural language search. Search enables users to formulate their data queries in plain language and immediately get insights they can take action on. Whereas it would have traditionally taken hours, days, or even weeks for data analyst teams to examine vast amounts of data and share actionable answers, it can now take minutes. At the same time, this reduces the burden on data teams and frees them up to drive more strategic business initiatives.

What’s more, ThoughtSpot delivers a complete platform spanning the entire spectrum of business intelligence needs, from ad hoc novel analysis with a code-first approach to code-free self-service exploration and AI-driven monitoring powered by natural language. With ThoughtSpot’s low-code developer-friendly platform, ThoughtSpot Everywhere, customers can embed AI-Powered Analytics into their products and services, monetizing their data and engaging users to keep them coming back for more.

Thanks to AI-driven search analytics, ThoughtSpot enables businesses to tap into the value of their data and deliver customized experiences for customers, optimize operations, and drive revenue, which is key in this economic climate.

How do you adapt your marketing strategies based on varied market needs and conditions of different countries and regions while maintaining a consistent brand message?

As we’ve grown our global presence, we’ve been cognizant of the complexities of establishing ourselves in a new market. My philosophy is - Think global and act local. 70% of your content investments and strategy can be applicable on a global stage, but 30% must be adapted to the local market. Having boots on the ground in new markets makes a big difference, and we’ve had a valuable opportunity to hire locally, which gives us firsthand knowledge of nuances. Even if we don’t have employees or a sales team on the ground, we make sure to work with partners in each local market to provide counsel and review creative work. As a growing business, we cannot translate everything, so the key assets we can create are critical to be able to show up locally and resonate in new markets in Asia Pacific & Japan, and EMEA.

As an example, we recently held a ThoughtSpot Beyond event in Japan. For that, we went beyond translation to create a truly localized event. Our product managers ensured that our AI-powered analytics product, ThoughtSpot Sage, was built out in Japanese (despite the LLM being trained in English), to show the adaptability of this product in different markets. And the local audience really appreciated that – our Japanese business thrived because of that extra mile despite lacking a sales team on the ground. It’s a great instance of product and marketing teams coming together to land an audience and make an impact.

How will the acquisition of Mode Analytics by ThoughtSpot usher in a new era in the field of Business Intelligence?

The joining of ThoughtSpot and Mode boils down to what our customers have been asking us for a while: bridging the gap between data teams and business users – giving data analysts a tool they can write their own queries on and perform ad-hoc analysis while also serving the needs of the business with the ability to build their own reporting by using natural language search. And we’re doing so in a unified, dependable, governed, and safe analytics platform that is built for the modern data stack. This allows us to put reliable, meaningful insights into the hands of all users through natural language search, generative AI, or using a code-first approach with languages like Python.

For any acquisition, you have to have patience – not everything can happen overnight. So many systems and processes need to come together in addition to the people and culture of the two companies. Beyond that, it’s about aligning the two unique values that ThoughtSpot and Mode bring to the market. It’s an important exercise to understand both audiences and bring them together.

What is exciting about Mode’s product is that it sits on the opposite end of the spectrum with data analysts. That brings a nice synergy, message, and value proposition for our data, product, and business teams as we look to define our joint customer voice. Together, ThoughtSpot and Mode offer a comprehensive solution that empowers both data analysts and business users to extract maximum value from their data. This union allows ThoughtSpot to provide increased value to new and existing customers while expanding its market reach and capabilities for data teams as they look to adopt AI-first analytics.

What do you anticipate will be the next significant breakthrough in marketing analytics?

Marketers generally want easy-to-use, frictionless ways to extract value and show impact on investments. Every part of the B2B customer journey is changing dramatically and growing more complex – from brand awareness and selling to the continued relationship with the customer. Finding the right attribution for marketing given the challenges we are seeing with channel diversification and ad platform consolidation, predictive analytics will be crucial to plan and test user journey mapping and performance. I am sure we will see use cases like customer churn prediction and lead scoring increase in importance here, too.

As a result, marketers need web and mobile tools that allow them to look across data sources to spot pattern abnormalities and conduct a multi-channel ‘what-if analysis.’ It’s not just about making informed decisions on the data you have access to within your company’s walled garden but about bringing datasets together from different sources to make more reliable predictions.

Welcome, Scarlett! How does your professional background of working in big data, analytics, and computer software enable you to be better in your current role as the CEO of AnalyticsIQ?

I’m happy to be here! I believe my background and experience in different roles and industries allow me to bring a unique perspective to the martech and data space. I have a background in credit risk in a regulated industry, so a high standard for data quality, ethics, and privacy is always top of mind for me. I strongly believe those principles apply in marketing. I am also fortunate enough to have worked in different places across the globe, which has given me the opportunity to experience diverse perspectives and cultures.

Throughout my career, I have cultivated a love for building things, and that is what I’m most excited about continuing as CEO at AnalyticsIQ – building innovative products, building a quality culture, and building our company.

Could you highlight some key factors that have contributed to AnalyticsIQ receiving the recognition of “Best Predictive Analytics Solution”?

First and foremost, credit goes to our incredible team because our success is a team effort. We have a group of intelligent, diverse, and innovative individuals who are passionate about our mission of driving better outcomes for all with data, and that is evident in the products and solutions we create.

We also know that we are not successful unless our clients are even more successful, and this motivates us to constantly push the envelope and innovate with data. But to be specific, our proprietary and custom research processes led by our one-of-a-kind Department of Cognitive Sciences set AnalyticsIQ and our predictive data apart. The vast majority of our data products are created using a powerful combination of cognitive psychology and data science. Our Cognitive Sciences team utilizes a scientific, research-based development process that is tested and validated. This resulting intellectual property created by our Cognitive Sciences team through their proprietary research is the basis for many of the individual data products we develop with best practices in data science and predictive analytics. The integration of cognitive psychology and data science results in highly predictive, stable, and unique data assets at scale. Brands, marketers, and data science teams across industries use AnalyticsIQ data assets to better understand consumers and ultimately drive better outcomes.

Can you provide deeper insights into AnalyticsIQ’s core offerings, namely PeopleCore consumer data, BusinessCore B2B data, and Connection+ B2B2C linkages? How do these solutions empower organizations to garner better business outcomes?

Absolutely. PeopleCore is the first consumer database rooted in cognitive psychology and predictive analytics and provides a complete picture of who people are, what they do, and why they make decisions. BusinessCore is our B2B data asset, but what makes it unique is its focus on providing insight into the professionals making decisions – not just traditional business information and firmographics. That leads perfectly to Connection+, which is a powerful solution that links our two databases, unlocking a complete B2B2C view of an individual both as a consumer and professional. These B2B2C linkages and the resulting insight fuel powerful use cases in today’s hybrid world.

What essential changes have you been implementing since you held the chair of the CEO? In what ways do you believe these changes will push the envelope for AnalyticsIQ?

One of my first goals and objectives as CEO of AnalyticsIQ is to drive us to become more customer-centric than ever before. We want to solve tomorrow’s customer challenges today. However, a solution isn’t truly a solution if it’s not addressing a real problem, so the voice of the customer has to be the driving force of all of our decisions. I believe that being product-led by constantly collecting and translating customer feedback and insights directly into our strategies and solutions will ensure we’re pushing the right envelope in the right way.

I also want to make sure we are leading the way when it comes to navigating the evolving regulatory environment to ensure our clients do not skip a beat when leveraging data to power their marketing. To that end, we continue to take an active role in industry developments and have built an internal compliance team that ensures we’re able to deliver powerful data that meets all regulatory requirements and respects consumer privacy.

How does having a robust identity enrichment solution enhance an organization’s marketing efforts and contribute to delivering more sophisticated personalized experiences?

The digital world today is full of disparate, anonymous identifiers that offer little insight on their own. However, consumers expect brands to deliver personalized and relevant experiences across channels. This is why not only identity but also enrichment has become paramount. So, at AnalyticsIQ, we’re uniquely positioned to help digital marketers make this happen with our ability to unlock 1500+ predictive PeopleCore and BusinessCore data points and enrich a variety of identity signals with our Identity Intelligence solution. This helps brands not only identify individuals but also actions based on reliable insights and activate across channels – all with one partner.

How will the new partnership between AnalyticsIQ and Claritas allow businesses to achieve new heights of marketing ROI by leveraging the advanced PRIZM Premier segmentation solution?

Claritas is a leader when it comes to marketing segmentation, and we’re thrilled to give our clients access to PRIZM Premier codes alongside our PeopleCore consumer data. Our partnership emphasizes our mutual commitment to elevating marketing ROI for both agencies and brands. By pairing PRIZM Premier with AnalyticsIQ’s predictive people-based data, marketers can delve deeper into segment personas and take action based on reliable and comprehensive data. This empowers users to enhance personalization at scale and improve marketing results.

In what manner has AnalyticsIQ managed to uphold a working balance between privacy and personalization, guaranteeing that their customers do not need to compromise in either aspect?

Throughout my career, I’ve worked in highly regulated industries with stringent privacy and compliance requirements. So, an awareness of and adherence to these types of requisites is naturally at the forefront of my mind. And at AnalyticsIQ, our mission is to fuel better outcomes for all with data – and that includes consumers. That means that privacy and regulatory requirements are at the center of the data products we create from the start. However, thanks to our proprietary research methodologies and product development procedures that rely on cognitive sciences, public and opt-in data sources, and best-in-class data science techniques, we have not had to sacrifice predictive power, data quality, and, ultimately, our clients’ ability to personalize. Furthermore, our team has built and continues to add to an entire suite of FLA, Reg B, and ECOA-friendly elements specifically designed to provide value while adhering to regulations around consumer privacy.

By blending cognitive psychological research and predictive analytics, we are able to provide innovative solutions that can provide actionable insight into consumers in a privacy-compliant, non-invasive manner.

What emerging trends do you foresee in the predictive analytics and data science space? How is AnalyticsIQ positioned to capitalize on these trends?

Emerging trends in the predictive analytics and data science sector point to a transformative period ahead. The non-linear customer journey necessitates an evolved ability to understand consumers and deliver personalized experiences at every interaction. The impending deprecation of third-party cookies and rising privacy regulations will notably reshape the data and martech landscape. Predictive analytics, leveraging machine learning and AI, will become vital in anticipating customer preferences while upholding privacy standards. Emerging technologies such as Connected TV (CTV) and audio marketing are also gaining traction, and I believe predictive analytics will play a crucial role in powering real-time personalization opportunities in new ways.

At AnalyticsIQ, providing reliable and actionable data and insights in a privacy-centric manner based on research and predictive analytics is what we’ve been doing for over a decade. And, thanks to strategic partnerships, our own internal capabilities, and our commitment to privacy, we will continue to fuel better marketing outcomes with data as our industry continues to evolve.

You were recently recognized as one of the Top Women in Media & Ad Tech; how do you plan to sustain this feat, and what advice would you offer to aspiring women trying to make a mark in the business world?

While I was recognized individually, being named one of the Top Women in Media & Ad Tech by AdExchanger and AdMonsters is truly a team accomplishment. However, I believe we can sustain such quality performance by continuing to innovate, leaning into our curious nature as builders and researchers, and ultimately following through on our mission.

My message to women in business is to always maintain your convictions, pursue excellence in everything you do, and not settle for situations that stifle your potential. By staying authentic to yourself and proactively seeking supportive environments that resonate with your ethos, you will position yourself for success. And remember that each step you take also paves the way for others.

Please share your journey in product management, especially with Tellius.

My journey in product management has been diverse, starting as a BI Analyst at Coca-Cola, then transitioning to a BI Architect role at KLA-Tencor. There, I developed critical expertise in data analytics and business intelligence solutions. I further broadened my knowledge as a Sales Engineer at Oracle, gaining deep insight into the market landscape and customer needs.

At GoodData, my career took a decisive turn toward product marketing and management, focusing on strategic areas such as market analysis, product roadmaps, and competitive positioning. This focus continued at Birst, where I took an active role in managing product lifecycles, defining go-to-market strategies, and shaping innovative solutions that delivered customer value.

Today, as Chief Product Officer at Tellius, I leverage my technical background, market insights, and customer feedback to drive our overall product strategy. The diversity of my career path helps me create products that not only meet but exceed customers’ expectations. Effective collaboration lies at the heart of my approach. By working in synergy with cross-functional teams, we ensure our products are finely tuned to meet evolving market demands and cater to the unique needs of our customers.

Tellius was recently named a Visionary for the second year in Gartner® Magic Quadrant™ for analytics and BI platforms. Which factors proved instrumental in this success?

At Tellius, we’re thrilled to be recognized as a Visionary in the Gartner® Magic Quadrant™ for analytics and BI platforms for the second consecutive year.

We build innovative features not just based on what’s trending but, more importantly, on how we can help our customers address their challenges and needs. But what makes us truly visionary is our strong customer attraction. We listen, we understand their pain points, and we create. We’re delighted that customers not only love our platform but are continually discovering new ways to imagine using it. We are committed to continually aligning our innovative mission with our customers’ needs, turning their pain points into our next big feature.

Since our inception, we have been seamlessly weaving AI augmentation into every aspect of our platform. This could range from subtle aspects like detecting data types to more visible ones like natural language-based data exploration, auto-visualization, predictive modeling, and storytelling. We believe that AI is not just an add-on but an integral part of the analytics process that empowers any user to generate insights at every stage.

The platform provides a greater degree of agility in analytics than anything on the market today. It enables a rapid analytics iteration designed to foster collaboration between creators and consumers. Our aim is to help users move from data to insights as quickly as possible.

What are your plans to reach a broader audience and capture newer markets in your vertical?

Our central mission is to democratize analytics with AI-powered decision intelligence, focusing on equipping companies with the tools they need to become data-driven. To make our technology more accessible, we are adopting a freemium model, which draws from a product-led growth (PLG) strategy allowing users to engage with our platform firsthand, fully experiencing its potential without any upfront investment. This model’s unique approach gives users the freedom to understand our platform’s capabilities, grasp its intuitive design, and then select a pricing model that aligns best with their evolving needs.

To reach out to newer markets and broaden our audience, our commitment to innovation remains unwavering. We continuously work to enhance our analytics workflow and are resolute in expanding data access to a wider range of personas within an organization. With our autoML feature, which is already fortified with a spectrum of industry-specific models, we are relentlessly expanding the options available to our customers. At Tellius, we’re committed to turning visions into reality, adapting to evolving market needs, and consistently delivering value to our customers.

Collaboration between product, marketing, sales, and customer success teams is essential for growth. How do you ensure that they are operating at optimum levels?

At Tellius, collaboration forms the core of our ethos. Regular stand-up meetings punctuate our week, with product updates flowing seamlessly to our marketing, sales, and customer success teams. This fosters an environment where each department remains in sync with our latest advancements, enabling them to work effectively. Additionally, the product and marketing teams provide weekly enablement content to our sales force, driving a culture of knowledge-sharing and mutual growth.

We have established a consistent feedback loop between our customer success team, sales, and product. This allows everyone to stay updated on key customer requests and issues, fostering a unified approach across all stakeholders. Additionally, our product team remains in constant touch with our key accounts, reinforcing our commitment to account health and customer satisfaction. At Tellius, collaboration isn’t just a part of our workflow; it’s the heartbeat that propels us forward, ensuring we remain attuned and responsive to our customers’ needs.

How does Tellius modernize customers’ data analytics stack while providing a better way to reveal insights?

We’re helping to usher in a new era of analytics in decision intelligence, moving away from the traditional business intelligence approach towards a user-friendly, AI-augmented platform. Our aim is to reimagine analytics as a Google-like experience—easy, quick, and intuitive. By intertwining self-service analytics capabilities with AI, we’ve built a platform that empowers everyone within an organization to tap into the power of data-driven insights.

Our secret sauce? A blend of features that streamline the analytics experience. Natural language search, auto-recommended visualizations, automated insights, and no/low-code data preparation tools allow users to generate insights within minutes. Add to this the power of our dual-analytics engine, which ensures rapid, accurate queries and insights. At its core, Tellius is not merely modernizing data analytics; it’s revolutionizing the entire path to insights, making it more accessible, actionable, and fundamentally beneficial for users.

How does Tellius help industries like Financial, Pharma, Ecommerce, etc., gain AI-powered insights?

At Tellius, we bring the power of AI to diverse enterprises, spanning sectors such as pharmaceuticals, life sciences, ecommerce, CPG, and financial services. Our goal is to transform their data into actionable insights. Within the pharma and life sciences arenas, our AI-augmented analytical frameworks simplify complex data analysis, fostering more informed, data-driven decision-making in areas like market access and commercial effectiveness.

Similarly, in the CPG and ecommerce sectors, Tellius has been a game-changer. We’ve enhanced shopper insights and pricing strategies and even facilitated swift, ad hoc analysis for over a thousand users. In essence, Tellius harnesses AI to deliver practical solutions and shape the future of data-driven decision-making across industries. With Tellius, every business has the means to extract maximum value from their data.

Are there any new launches or newer versions of the current solutions that will augment the growth of Tellius?

With the introduction of GPT-powered Copilot, the evolution of augmented analytics takes a significant leap. Copilot strikes the perfect balance between the power of AI and the strengths of human intelligence by offering features like automated code generation, business-friendly metadata creation, and insightful bite-sized narratives that fortify your decisions.

In our recent upgrades, we’ve integrated a metadata view, a strategic addition aimed at establishing a context and promoting collaboration among users. In addition, we’ve rolled out multi-business view Vizpads, empowering users with a holistic view of insights across varied datasets. These innovative features are continually pushing the boundaries of our platform, ensuring it resonates with the evolving needs of data experts, analysts, and business users. Tellius breaks down the barrier between various personas and data, enabling them to find their own answers and unleashing a level of automation that traditional tools have struggled to match.

With innovation at the core of our business, one of our upcoming features allows users to gain insight into our product roadmap, offer suggestions, and actively participate by voting on potential features. This bridges the gap between the product team and the users, emphasizing the collaborative spirit we champion at Tellius.

How is Tellius’ AI-driven decision intelligence platform unique in the market?

Tellius stands out in the market by embracing three foundational pillars: next-generation self-service analytics, AI augmentation, and superior analytics agility. Our self-service analytical capabilities democratize data access, transforming every member of an organization into a data-driven decision-maker. With a simple, intuitive, and “Google-like” search interface, users can find the data they need without being data experts. Automated insights extract meaningful patterns from the data, bringing insights to light with a click. Our dual-analytics engine ensures quick, responsive queries even for the most demanding workloads.

Additionally, AI powers everything from our simplest functions to our most complex analyses. The seamless integration of AI not only amplifies the capabilities of data analysts but also democratizes ad-hoc data analysis. Tellius’ unparalleled automated insights offer key driver, cohort, and segment analyses right into the platform. Furthermore, our platform enhances organizations’ analytics agility by streamlining workflows and fostering cross-departmental collaboration. Thus, Tellius redefines not just how organizations interact with data but also how they can leverage it to drive actionable, impactful decisions.

Which trends are you focusing on that will drive growth in marketing and sales?

The emergence of Large Language Models (LLMs) like GPT has marked a pivotal moment in our industry. These advanced AI models will significantly alter the landscape of analytics, and we are strategically positioning ourselves to harness their potential, focusing on these trends to drive growth.

To this end, we’ve developed ‘Copilot,’ an exciting addition to our AI-powered platform. Copilot embodies our vision of automating the journey from raw data to actionable insights, an approach that resonates powerfully with the market’s needs.

Copilot accelerates data preparation while removing the tedious, time-consuming process of adding metadata to datasets. It goes a step beyond simply auto-generating the code by also providing optimization, inline comments, and explanatory notes to make data preparation more efficient and less error-prone. Tellius Copilot extracts key findings, interesting patterns, and trends from your analysis, presenting them as simple, digestible information.

This confident approach to innovation, combined with the adoption of powerful LLM technology, isn’t just aligning us with industry trends—it’s propelling us forward as trendsetters in the realm of AI and data analytics.

What do you think the future holds for AI-driven decision intelligence and automation platforms?

The future of decision intelligence and augmented analytics is promising and dynamic. The convergence of data science and business intelligence is reshaping industry standards, and we at Tellius find this exciting as a forerunner in the automated analysis space. What we are seeing now is a powerful shift towards not just visualizing data but also enabling the automated generation of insights.

We’re at a pivotal moment in our industry’s evolution, particularly with the emergence of LLMs. Traditional players struggle to keep pace with rapid innovation, leading to ill-considered bolt-on services and even retractions. Implementing LLMs demands careful planning, given the risks—such as the ‘hallucination’ rate of up to 20% in popular models like GPT. However, we at Tellius are tackling these challenges head-on. We’ve incorporated the ‘human-in-the-loop’ principle, creating a safeguard against inaccuracies in LLMs. This exciting journey forward brings us to the frontier of industry innovation, and we’re eager to help shape its future.