Instapage, the world's leading landing page solution, is delighted to announce the promotion of Imran Syed to the position of Chief Executive Officer. With an exceptional background as Chief Operations Officer and Senior Vice President of Professional Services at the company, Syed brings decades of experience in cultivating high-performing teams and achieving remarkable outcomes.

"I am humbled and privileged to embark on this next chapter of my career at Instapage, where our dedicated team continuously strives to achieve ambitious objectives," expressed Syed. "My focus will be to instill stability, drive accountability, harness our growth mindset, and continue cultivating an innovation culture."

Syed is focused on continuing to raise the bar for Instapage and maintain their position as a category leader. Leveraging his expertise in operations and customer success, Syed's initial goals as CEO include fostering a diverse and talented team of individuals with unique perspectives and empowering Instapage’s customers with continuous victories. Syed is also deeply committed to creating meaningful growth opportunities for existing Instapage employees within the organization.

Founder and Chief Product Officer, Tyson Quick, commented on the announcement, stating, "I have had the privilege of witnessing Imran's visionary leadership in action over the past years." Quick continued, "I am excited to collaborate with Imran to deliver even better results for our valued customers and our company."

Imran Syed's impressive career includes successful tenures at tech giants such as Oracle where he helped develop the GTM services and success strategy that helped form the Oracle Marketing Cloud (OMC). Within his role as Regional Vice President, he supported the OMC's global footprint and advised Fortune 1000 organizations on digital transformation, technology investments, and omnichannel experiences. Prior to Oracle, Imran held progressive leadership roles at brands like Eloqua, Disney, and Ontario Power.

Empowering Customers to Drive Trusted Business Insights Through Transformative Power of Data on Single, Complete Cloud-Native Data Management Platform

Informatica, an enterprise cloud data management leader, today announced the availability of the company’s leading end-to-end AI-powered data management platform Intelligent Data Management Cloud (IDMC) in Amazon Web Services (AWS) Asia Pacific (Tokyo) Region to support customers in their data-led cloud modernization journey, enabling them to manage, access, and accelerate data transformation for trusted business insights, while complying with data residency requirements in the country.

The expansion of this cloud footprint further extends the years-long collaboration between Informatica and AWS. Informatica was named the AWS Global Design Partner of the Year and a Data & Analytics Partner of the Year for 2022, and Informatica also recognized AWS as its Global Ecosystem Growth Partner of the Year. The strong collaboration between the two companies has resulted in co-sell growth of approximately 111% in the first quarter of 2023.

Ko Fujiwara, Manager of IT Transformation Office and IT Architecture Integration Dept., Corporate Systems PJ IT Division, Global Business Process and IT Innovation HQ at OMRON Corporation, commented, “To accelerate company-wide, data-driven digital transformation, we will be leveraging IDMC on AWS to enable us to efficiently and effectively manage data in our worldwide operation, including Japan. As the importance of data governance is rapidly increasing for OMRON's global business, having a high connectivity, vendor-agnostic, cloud-based platform with global scale were decisive factors for us to adopt Informatica’s IDMC on AWS. We believe that Informatica's industry-leading support and services will be a strong asset for our global expansion."

Muneyuki Watanabe, Director, Head of Partner Alliance at AWS Japan, said: “We welcome the launch of Informatica’s IDMC on AWS in Japan. We are very pleased to expand our customers' options by making it easier than ever for them to manage and utilize their data while keeping data residency in Japan. In response to the recent unstable economic situation, many companies are accelerating their adoption of cloud to build a more flexible and efficient business infrastructure. AWS Japan is working with Informatica to support customers' data-driven digital transformation.”

“Trusted and high-quality data is the foundation that unlocks analytics for organizations to gain data- driven insights. The launch of Informatica’s AI-powered IDMC on AWS in Japan is our shared vision of co-innovation and joint go-to-market strategy with AWS to help customers accelerate their data-led cloud modernization, deliver cloud-scale analytics for better business outcomes, while ensuring data is well-governed, secure and in the region,” said Rik Tamm-Daniels, Group Vice President, Strategic Ecosystems & Technology at Informatica.

Informatica’s IDMC is a comprehensive cloud-native data management platform that enables enterprises to visualize, analyze and collaborate with their data regardless of location or platform. Powered by CLAIRE®, the company’s AI metadata-driven engine, IDMC helps organizations accelerate innovation and increase productivity at scale. With the launch of the IDMC on AWS in Asia Pacific (Tokyo) Region, customers can enjoy the full breadth of IDMC services designed to intuitively increase data sharing, improve productivity and enable organizations to make more informed decisions. The IDMC on AWS Asia Pacific (Tokyo) Region can be accessed through the AWS Marketplace.

Cutting-edge advancements help clients innovate responsibly
Company to host free client webinar focused on safely deploying AI technology

Dun & Bradstreet , a leading global provider of business decisioning data and analytics, today announced the launch of D&B.AI Labs. Accelerating innovation, D&B.AI Labs will create a transformative hub for its customers to pursue co-development of groundbreaking solutions tailored to their specific needs, while exploring the power of Dun & Bradstreet’s proprietary data and analytics, and the company’s ongoing application of Generative Artificial Intelligence (AI) and Large Language Models (LLMs), among other technology.

D&B.AI Labs brings together expertise in leveraging AI, LLM and Machine Learning (ML) with proprietary data and advanced analytics. Over the last few years, Dun & Bradstreet has gone through a dramatic transformation driving a culture of innovation and making significant investments in technology, data, and analytics, including adding 64% more analytics solutions, evolving its scores and indices to leverage AI, LLM and ML capabilities.

“Powered by innovation and in support of the rapid changes across the business landscape, companies of all sizes need access to an environment where they can fuse our trusted datasets, responsibly apply AI, and tap into our expertise to quickly develop prototypes and solutions to advance their businesses. We believe there is no company better than Dun & Bradstreet to accomplish this,” said Anthony Jabbour, Chief Executive Officer, Dun & Bradstreet. “D&B.AI Labs creates an environment for us to work side-by-side with our unparalleled client roster, including 93% of the Fortune 500, to understand their pain points and help them to swiftly design and deliver innovative solutions specific to their needs.”

D&B.AI Labs comprises a team of seasoned data scientists, data engineers and solution specialists with extensive innovation experience, as well as deep expertise in AI, LLM, ML, and advanced business analytics who have a track record of successfully implementing solutions for a variety of use cases. The team will work side-by-side with customers to formulate solutions in real-time, build prototypes and rapidly deploy solutions to help clients realize the true power of Dun & Bradstreet’s data and analytics.

“In a world where LLMs are trained on mainly uncontrolled publicly available data from the web, the value of trusted datasets such as Dun & Bradstreet’s will increase significantly,” said Gary Kotovets, Chief Data & Analytics Officer at Dun & Bradstreet. “Our products and services are underpinned by validated, historical and proprietary data, which allows us to deliver reliable and interpretable AI created results that drive our clients’ most critical business decisions.”

Having utilized these technologies in its analytics solutions for the past several years, Dun & Bradstreet has a robust product development program with multiple solutions being tapped to incorporate generative AI and large-language models, including in the areas of ESG, Linkage and Matching, and Sales and Marketing solutions. Further, Dun & Bradstreet’s Master Data Management (MDM) business segment develops solutions to help businesses connect data sets within an organization and create clean, accurate and complete data records. Its MDM solutions fueled by AI-based capabilities help clients maximize the value offered by predictive analytics, machine learning, generative AI and large language models. These capabilities are foundational for product innovation and are critical for any AI model creation and training.

Dun & Bradstreet will offer a free client webinar, “Proprietary Data: Your Competitive Advantage in the Age of Generative AI and Large Language Models" on Wednesday, July 12 at 11 a.m. Eastern Time. The session will help participants separate between the hype and the reality and understand how they can safely deploy Generative AI and LLMs to fuel innovation and growth. To register, click here.

The video personalization leader builds upon its platform’s native AI capabilities for an easier, more efficient video planning process

SundaySky, the leading software-as-a-service (SaaS) platform for efficient video creation and personalization, today announced the beta release of its generative artificial intelligence (AI) assistant, Copilot, for its platform customers. The beta version of Copilot facilitates faster and easier user-driven video creation through conversational text prompts and is directly integrated into the SundaySky platform workflows, saving customers time and scaling the creative process. This release augments the Company’s existing AI features for video creation, including text-to-speech voiceover narration and music selection – all native capabilities and necessary tools for non-video experts to easily build and deploy professional-looking, high-quality video at scale.

Marketers know what they want to communicate to which audiences, but how they translate that into video is often where they get stuck if they lack prior experience with the medium. This beta – driven by extensive customer feedback – is designed to ease that pain point and starts with SundaySky users’ initial planning workflow to help distill an idea into a fully realized video that can be further edited, personalized and published. Copilot accelerates productivity and time-to-impact for users who think like marketers and can now act like video creators.

SundaySky is focused on keeping its users in the driver’s seat, to choose to be assisted by Copilot at their discretion. Unlike other newer video tools that are born from AI, SundaySky pioneered video personalization for businesses over a decade ago and recognizes that both audience segmentation and 1:1 individualization rely on a mixed creative approach with a variety of media, motion graphics and data visualizations to convey complex ideas in a contextually relevant way. The Company does not intend to take video creation out of the hands of its customers, but fundamentally believes that AI is an efficiency accelerator for its business users to stimulate their creativity, scale the quality of their video content and widen the diversity of their media mix.

SundaySky will engage with customers through the beta period as it expands and integrates the feature into its other workstreams. “We will add AI assistants to further streamline the creation experience, video personalization, and optimization, extending Copilot into the end-to-end video lifecycle and empowering users to choose when they use AI for specific workflows,” said Guy Atzmon, Chief Product Officer and General Manager, Israel at SundaySky. “By marrying the speed and simplicity of generative AI to the proven power of personalized video engagement, marketers can keep up with the exponential market demand for video content and businesses can accelerate their time to value for quality digital video.”

Today, demands for unique and new content supporting social, paid media and customer engagement grow at a rapid pace, and the ability to efficiently create highly engaging and quality content is a competitive edge for marketers in any industry. “With the introduction of our self-service video authoring and personalization platform two years ago, we’ve seen our customers leverage video in new and compelling ways. Recently, we’ve seen customers use video to optimize search campaigns, add personalized video to their account-based marketing programs and leverage personalized video to impact student acceptance; these are all video use-cases born from our customers’ business needs and our users’ creative ideas that came to fruition by putting video creation in their hands,” said Jim Dicso, Chief Executive Officer at SundaySky. “Now with Copilot, marketers can continue to elevate their creativity and knock down barriers to meeting the rising demands for video, even with smaller teams and leaner budgets.”

New enhancements allow enterprises to take immediate advantage of generative AI and large language models with confidence and ease 

Kyndi, the Answer Engine company, today announced several new capabilities to Kyndi's natural language processing offerings, including advanced generative AI capabilities, enhanced analytics, and automated query suggestions. These enhancements expand on Kyndi's existing Answer Engine and generative capabilities, enabling enterprises to provide direct, accurate, and trustworthy answers to customers and employees instantly for improved decision-making, efficiency, and productivity. By furthering the generative AI capabilities into its portfolio offerings in a secure manner, Kyndi has solidified its position as the world's first generative AI-powered Answer Engine for enterprises. To learn more, click here.

Built for enterprises, Kyndi's generative AI-powered Answer Engine is designed to revolutionize the way employees and customers find answers to their queries. With enhanced capabilities built into Kyndi's award-winning products, including Kyndi Natural Language Platform and the two applications built on top of it, Kyndi Clarity and Kyndi Natural Language Search, enterprise users can now receive direct and trusted answers rooted in enterprise content, every time they have questions about a business. By combining embeddings, LLMs, generative AI, and vector and semantic databases on the same secure platform, Kyndi's generative AI-powered Answer Engine offers an end-to-end solution that saves companies time and costs from developing and managing separate technologies. 

Unlike ChatGPT and traditional search engine tools, Kyndi's Answer Engine is an enterprise-class, complete solution that provides immediate and trustworthy answers in a secure environment as  answers are generated solely from enterprise content. Data privacy measures such as GDPR and CCPA are built into Kyndi's Answer Engine to ensure no customer data is compromised. With Kyndi, users get one correct answer instead of a long list of results they have to sift through to find the exact information they seek and there is no misinformation in the results.

Specific benefits and major enhancements to Kyndi's generative AI-powered Answer Engine include:

Direct and Trusted Answers. Generative AI capabilities further streamline the user experience by delivering accurate and trustworthy answers to users' questions, allowing individuals to act immediately with that information. The solution offers the best possible answer generated solely from trusted enterprise content, eliminating the hallucination associated with large language models. Built-in transparency enables users to trace back to the sources of the answer easily to validate the information. Kyndi's Answer Engine not only provides the right answers, but also allows users to understand why they are right.

Enhanced Analytics. Allows business leaders to fully understand users' content needs and curate tailored information to address users' questions effectively. The latest features offer comprehensive analytics that enables organizations to monitor users' queries and quickly assess the quality of the content they provide in response to those questions. These detailed insights give content and knowledge management teams clear visibility into users' activities and engagement with their content, such as how many and what type of questions people asked over any given time and how well their content has been answering these queries. Teams can use these insights to curate tailored content that satisfies users' needs quickly and continuously. 

Automatic Query Suggestions with Autocomplete. Query suggestion and autocompletion facilitate a simplified user interaction. Leveraging Kyndi's best-in-class natural language understanding capabilities, users can type in as little as two characters and receive a list of suggested full-sentence queries automatically generated based on the existing content. Users can choose the most relevant question from the list and receive the right answers immediately, resulting in an effortless user experience. Kyndi's unique query resiliency feature ensures the relevance of the suggested queries as users continue to interact with the system. 

Additional enhancements are also added to the Curator Tool and the Admin Portal of Kyndi's Answer Engine to improve the usability and flexibility of those functions. 

"Unlike other offerings, Kyndi's generative AI-powered Answer Engine offers users accurate answers from trusted content that is explainable and easy to run in an enterprise environment," said Ryan Welsh, founder and CEO of Kyndi. "Our vision has always been to provide organizations of any size, and in any industry, with a complete solution that integrates components necessary for building a state-of-the-art answer engine. Not only does this improve the customer and employee experience and support a true digital transformation, but it reduces costs significantly and can be deployed 9x faster than other offerings." 

• Company's new sustainability report details progress toward ambitious sustainability goals across environmental, social and governance impact

• Genesys launches new offer to help charities delivering life-changing services further their missions

Genesys^®, a global cloud leader in AI-powered experience orchestration, today released its 2022 Sustainability Report covering the company's fiscal year 2023 (February 1, 2022–January 31, 2023), underscoring its commitment to driving a more sustainable future for positive impact on the world. The report highlights progress toward the environment, social and government (ESG) goals the company set for 2030, including a nearly 25% decrease in greenhouse gas emissions since it began measuring its footprint in fiscal year 21 (ending January 31, 2021).

"A strong sustainability foundation is rooted in empathy, inclusion, engagement and innovation — all of which are at the core of everything we do here at Genesys," said Bridgette McAdoo, chief sustainability officer at Genesys. "We moved at a rapid pace over the past three years to affect meaningful and lasting positive change that's well beyond just setting goals. We are a sustainability leader in the customer experience industry and bringing our employees, customers and partners with us."

Genesys officially launched its sustainability initiatives in 2020, integrating ESG as one of the four pillars around which it builds its operational model to ensure strategy-aligned execution. In 2021, the company announced its 2030 goals to contribute to a more sustainable future for the community it serves, including becoming carbon neutral, becoming as diverse as the markets it serves and touching 100 million lives of people in need by helping nonprofits use Genesys products for good. Since then, the company has set the standard for sustainability practices in the industry, resulting in significant traction toward its goals.    

The Genesys commitment to sustainability also means helping organizations make a positive change in the world them. As part of that, Genesys is driven to enable organizations to use its innovative products for good. With world-class uptime, Genesys Cloud CX^TM is the ideal solution for any organization that depends on the reliability of its contact center to provide critical services, including suicide and domestic violence hotlines, food banks and more. During its most recent fiscal year, Genesys has enabled nonprofit organizations around the world to deliver more than 46 million experiences to people in need.

Today, Genesys has announced the expansion of its efforts to help charitable organizations improve their ability to serve more people. This offer will enable these organizations, which are doing good in their communities while traditionally operating on limited budgets, to maximize their impact for the people they serve with the most innovative and reliable platform on the market. Details on the offer, which will be available later this quarter, can be found here. 

Notable environmental achievements highlighted in the latest report include:

• Decreasing greenhouse gas emissions by 8% year-over-year, due in part to the carbon-saving benefits of transitioning customers from on-premises solutions to Genesys Cloud CX built on Amazon Web Services (AWS). With research showing that organizations moving their on-premises workloads to AWS decrease their carbon footprint around 80%, customers that evolve to Genesys Cloud CX similarly can reduce their emissions and progress their own sustainability goals.ⁱ
• Securing a B grade from the Carbon Disclosure Project (CDP) — a two-grade improvement in just one year. Genesys now ranks among the top in the customer experience (CX) industry for its sustainability efforts, as rated by the CDP.
• Improving from a Bronze to a Gold rating by EcoVadis in less than two years — placing Genesys in the top 5% of the more 100,000 companies assessed by the organization, and in the top 1% of those in the software provider industry.
• Achieving LEED Platinum certifications for its new offices in Galway, Ireland; and Menlo Park, California
• Committing to setting science-based targets (SBTi) for its near-term emissions reductions

Genesys approaches sustainability through intersectionality, understanding that employee representation and belonging play a crucial role in driving change and innovation across the organization. During FY23, Genesys made strides in reaching its diversity goals, including:

• The representation of underrepresented leadership (director and above) in the US grew from 20.4% to 22.5%; a greater than 10% net increase 
• Representation across all underrepresented groups in the US workforce grew by greater than 13%; increasing from 21.6% to 24.5% 
• Since officially establishing the Diversity, Equity and Inclusion (DEI) program in 2020, women in leadership across the globe increased by more than 20%

"This year was about continuing our DEI work at Genesys to build a more equitable, inclusive culture while also executing and delivering impactful results," said Eric Thomas, global DEI officer at Genesys. "For a third year in a row, we saw solid growth in the representation of women and people of color across the company. We are very proud of our progress and look forward to expanding opportunities for our talented employees to spur innovation, develop inclusive products and meet our customers' unique needs."

Multiple deployment methods and broad data protections allow organizations to safely reap the productivity gains possible without data leakage

Island, the leader and pioneer in the Enterprise Browser market, today announced the availability of an enterprise-grade set of Data Loss Prevention (DLP) capabilities for all popular interactive AI-type applications including ChatGPT, Bard and others, within its award-winning Enterprise Browser. These features are available in multiple deployment modes to accommodate various interaction types; integrated into the browser itself, managing AI extensions; and as a standalone desktop application, delivering the industry’s broadest set of protections for this rapidly growing category of productivity products.

Generative AI products have taken the world by storm, but CIOs and CISOs are rightfully concerned over the inherent risks involved, including leakage of intellectual property and private customer data, copyright violations, plagiarism and a host of other concerns. But if history has taught the security industry anything, it’s that fighting the tide of wildly popular applications is like trying to hold back the ocean with a screen door,” said Dan Amiga, Island CTO and Co-founder. “The Island Enterprise Browser with the DLP capabilities we introduced today gives customers an ideal way to enable these tools, while reducing risk and empowering the business and workforce.”

“Generative AI tools have the potential to drive major productivity gains in essentially every organization and in almost any job function imaginable, but like all transformational technologies, there are potential risks to consider before diving in headfirst,” said Ed Amoroso, Founder and CEO of TAG Cyber and former Global CISO for AT&T. “The challenge facing CIOs and CISOs is balancing productivity and risk reduction. The Island Enterprise Browser is an ideal starting point, delivering visibility and controls that allow leaders to discover and strike that right balance in their organizations.”

Island, the Enterprise Browser, is an ideal platform to allow enterprises to safely use generative AI tools without compromising on data security or leakage. Island offers several key capabilities to benefit IT, Security, and end-users directly.

Application visibility provides a full accounting of all web applications and extensions used throughout the organization, giving IT and security teams the ability to audit every interaction with AI tools to analyze user-generated prompts. All analytics data collected by Island can be shared with SIEM or data aggregation platforms.

Graceful redirect gives customers the ability to redirect users to company-preferred or authorized AI tools, and prevent the use of unsafe alternatives. If a user attempts to use an unwanted AI application or install an unsanctioned AI browser extension, Island can block access and redirect to the sanctioned platform, including the native built-in Island AI Assistant.

End-user awareness and education improves AI literacy and education through dynamic in-browser messaging. If a user attempts to paste sensitive data they will see a clear explanation why the action was prevented and where they can learn more about company data policies. When a user navigates to an AI tool like ChatGPT, they will see a reminder about their organization’s privacy, security and acceptable-use policies for generative AI tools.

AI-generated code scanning can help organizations govern AI-generated code. Generative AI tools will often generate code snippets that are functional but include serious flaws that should never make their way into a production environment. Island can scan code blocks and provide immediate feedback when a user attempts to copy code. This approach balances the benefit to developers of getting code suggestions from AI, while helping monitor and limit uncritical acceptance and introduction of AI-generated code into a production codebase.

Application boundaries provide an intuitive way to keep sensitive data within certain applications, and prevent the corporate tenant of those applications from being moved or shared to untrusted destinations. As an example, customer support staff can move customer records freely between the corporate tenants of Salesforce.com, Slack, and Microsoft365, but they can’t be pasted into the ChatGPT prompt window. This same boundary can be applied to browser extensions, which can be automatically disabled when accessing critical applications.

Contextual DLP controls offer further granularity to prevent certain types of data, like credit card or social security numbers, from being shared with an AI tool — regardless of where they originated. If these data types are detected, the user sees a clear message explaining why their action was blocked and a reminder about using sensitive data with AI tools. This control mechanism allows for use of AI tools while preventing sensitive data from being added to a prompt. Island offers a built-in DLP engine and can integrate with external providers to leverage existing rules and classifications.

Flexible deployment options for AI tools optimizes the user experience. With Island, AI web applications can be deployed as browser extensions, added as a link to the homepage, or brought out of the browser and deployed as a standalone app on the desktop. Regardless of which deployment method users prefer, all the data controls, governance, and auditing visibility are the same. And for users who are new to generative AI tools, Island offers the ideal onramp with a built-in AI Assistant that’s immediately available in a side panel within the browser. Across all deployment modes, Island provides unmatched visibility, audit logging, and metrics to refine policies and measure efficacy.

The Island Enterprise Browser

The Island Enterprise Browser is the desktop of the future, enabling organizations to protect users and data and embed productivity features at the very point where they interact with SaaS and internal web applications. Using the Island Enterprise Browser, security teams fully control the last mile, from basic protections such as copy, paste, download, upload, and screenshot capture, to more advanced security demands such as data redaction, watermarking and multi-factor authentication insertion. This opens up unprecedented opportunities across a growing number of enterprise use cases, including securing critical SaaS and internal web applications from data leakage, safe access for contractors and BYOD workers, and full governance over privileged user accounts. It also delivers a native user experience for the hybrid worker in contrast to costly and poor-performing virtual desktop infrastructure (VDI), while supporting built-in safe browsing, web filtering, web isolation, exploit prevention, and Zero Trust network access at much lower cost. Automation of repetitive tasks, customized workflows and frictionless adoption also help organizations realize significant increases in productivity and user experience.

Aha Insights Technology, an activity-based ResTech platform, announced the launch of aha intelligence™ (ai)— a generative artificial intelligence-based analytics tool that enables market researchers and brand insights teams to quickly summarize and analyze unstructured market research data.

Aha Insights Technology, an advanced activity-based ResTech platform, launched Aha Intelligence™ (AI) — a generative artificial intelligence-based analytics tool that enables market researchers and brand insights teams to more completely and efficiently analyze unstructured market research data.

Aha Intelligence (AI) gives analysts the ability to:

• Automatically summarize large qualitative datasets
• Instantly apply sentiment analysis
• Synthesize connected and unconnected data points leading to breakthrough insights
• Provide supporting examples to your key insights without having to manually search
• Inspire transformational reports

Aha Intelligence is the latest addition to the online platform’s innovative suite of qualitative and quantitative research tools and activities for creating and deploying live and asynchronous consumer and B2B research studies, capturing in-the-moment feedback, and analyzing deep emotions, actions, and behaviors.

"We are very excited about the integration of AI to our world-class activity-based ResTech platform," says CEO Ray Fischer. "We have been deliberate in our development and very clear that artificial intelligence, still in its infancy, is a tool that needs to be guided and curated with human expertise leading the way. While AI won't replace the human expertise factor, it will provide the researcher with a catalyst to organize and prioritize thoughts and supporting insights faster and easier than the traditional human analytic processes."

Fischer noted that it was designed to give researchers the ability to validate their thinking and, more importantly, identify blind spots that they may not have identified previously, connecting the unseen dots. For instance, AI might give five summary insights for a set of unstructured data; three of the summaries might corroborate the key insights a human would have identified, one might be a completely erroneous flyer, while the 5th might identify a breakthrough insight that the researcher may not have discovered otherwise.

“This can be the difference between a breakthrough strategy or a game-changing innovation for a corporation or start-up,” added Fischer.

The key features of the Aha Intelligence tool include the ability to auto-tag entire studies to instantly organize supporting text-based quotes, video clips, and images that bring observations, insights, and recommendations to life. To protect brand and respondent privacy, the platform does not allow proprietary data to be shared with the outside world - Aha Intelligence is a closed-loop application, not part of an open-source artificial intelligence system.

Launched in 2013, the Aha Insights Technology Platform also features live focus groups/IDIs — powered by the first-ever Zoom integration with its own proprietary client backroom, concept testing, and projective activities, including Dynamic Canvas™ and Storytelling, a one-of-a-kind TruRotation® concept and ad testing tool, and a suite of mobile and video-friendly social/collaborative tools that engage people where they live, work, shop and play. Aha’s other activities and methods include storytelling, leading-edge mobile video and image upload tools, home use tests, usability studies, perceptual mapping, social/community activities, quant tools, and analytic resources, among many other features.