6sense Revenue AI™ for Marketing and 6sense Revenue AI™ for Sales earned 74 badges

6sense, the leading platform to revolutionize the way B2B organizations create, manage, and convert pipeline to revenue, announced recognition on the G2 Summer 2023 Grid® Reports with 74 total badges and 34 Leader badges. Notably, 6sense Revenue AI™ was named a Leader for the seventh successive reporting period across 10 G2 categories.

6sense is renowned for its commitment to offering industry-leading technology that meets the needs of its customers and the market. 2023 is already shaping up to be a watershed year for innovation with launches and enhancements from the last 12 months that include 6sense Revenue AI™ for Sales, 6sense® Conversational Email (and now with AI Writer) and Pipeline Intelligence. 6sense customers have experienced firsthand how artificial intelligence has transformed from a novel concept to a must-have for efficient business growth, generating more revenue with less effort, doubling deal size and win-rate, and accelerating deal velocity by 91%.

"Our consistent presence as a leader on the G2 grids each quarter reflects our commitment to helping our customers achieve their revenue goals in the most efficient and effective way with world-class technology and support,” said Sanjay Kini, Chief Customer Officer of 6sense. “We take great pride in working with customers to align their sales and marketing plans with our exceptional customer success team so they can achieve their objectives as quickly and successfully as possible.”

The G2 Summer 2023 Grid Reports are based on overall customer satisfaction, presence in a product category, and written customer reviews. Recent review highlights include:

• “6sense has been an amazing tool for my marketing team! The insights have been so helpful, uncovering new leads and active contacts for our sales team to work. The support team is beyond fabulous.”
• “Best customer service EVER!...Excellent product, easy to use, and fabulous support at every part of the customer's journey! Love the 6sense staff!”
• "Positive experience with using 6sense as SDR…With its advanced capabilities, the platform empowers me to uncover valuable insights about account intent, allowing me to focus my efforts on the most promising opportunities.”

6sense Revenue AI™ for Marketing was listed as a Leader in eight overall G2 Summer 2023 Grid Report categories and a High Performer in one category:

• Account-Based Analytics
• Account-Based Advertising
• Account-Based Orchestration Platforms
• Account Data Management
• Buyer Intent Data Providers
• Lead Scoring
• Marketing Account Intelligence
• Sales Intelligence
• AI Sales Assistant

6sense Revenue AI for Sales was listed as a Leader in two overall G2 Summer 2023 Grid Report categories and a High Performer in one category:

• Buyer Intent Data Providers
• Sales Intelligence
• Lead Scoring

ACCELERATES LEADERSHIP IN END-END DIGITAL TRANSFORMATION

Ness Digital Engineering is pleased to announce its acquisition of MVP Factory - a leading German headquartered corporate venture builder & product design studio.

"MVP Factory's expertise in helping clients incubate and scale digital ventures and design software products further strengthens our strategy to be a specialist in digital engineering," said Ranjit Tinaikar, Chief Executive Officer, Ness. "We have been deeply impressed by MVP Factory's leadership and team in their distinctiveness and design-based approach to digital innovation. We are truly excited to have them join our team."

Headquartered in Berlin, Germany, MVP Factory provides an end-to-end service for digital venture and product building and has successfully pioneered the venture studio model with global clients such as DB Schenker. It allows clients to ideate, validate, launch and scale digital ventures using lean and agile methodologies. Additionally, MVP Factory's cross-functional team offers an entrepreneurial mindset helping identify new opportunities and business models in rapidly changing industries.

"Joining Ness Digital Engineering, backed by KKR, offers a fascinating opportunity for the global expansion of MVP Factory," said Philipp Petrescu, MVP Factory's Founder & CEO. "Through our combined offering, Ness can further solidify its position as one of the few at-scale pure digital engineering players that seamlessly manages projects from new venture ideation and incubation to technical execution. The synergies will offer immediate value to our clients".

The transaction is expected to close at the end of June 2023. Financial details were not disclosed.

Leading provider of SaaS-based marketing tools Utilizes Artificial Intelligence to Offer Industry-Leading Solutions

springbig (the “Company”) (NASDAQ: SBIG), a leading provider of SaaS-based marketing solutions, today highlighted its use of artificial intelligence to align consumers, retailers and brands in this evolving era of business innovation. The Company launched its first artificial intelligence-based solution in April and today followed up with a new AI Assistant tool.

springbig's new AI Assistant is a new tool that allows cannabis retailers to leverage artificial intelligence to write engaging content for their email campaigns. The AI text generator powered by OpenAI's language model, GPT-3.5, is a game-changer for businesses looking to improve email copy, increase customer engagement, and improve efficiency. Currently, this ability is only available for emails, but will soon be made available for other types of campaigns in the future, including SMS.

Artificial intelligence is rapidly revolutionizing the field of technology and impacting business across all industries. springbig remains committed to helping its clients increase retention, boost revenue and build customer loyalty by offering artificial intelligence-based solutions like the Brands Marketplace feature launched in April of this year. The Company’s first AI-based tool uses consumer data to help its retail clients make data-driven decisions. The feature also provides retailers with valuable insight into how each brand aligns with their consumers’ wants and needs, equipping them with the ability to purchase wholesale brands and products that their consumers desire.

“As it becomes more ubiquitous in everyday life, the phrase ‘artificial intelligence’ is met with skepticism and, potentially, animosity,” said Jeffrey Harris, CEO of springbig. “However, strategically used artificial intelligence has the ability to optimize workflow and enhance the consumer experience. Our work with Heed and Pluggi and new suite of AI features is the beginning of what can be a collection of tech-forward solutions that will benefit our clients and reshape our industry. I am eager to learn more about how we can continue to use artificial intelligence to build a brighter future in tech, cannabis and beyond.”

springbig has established partnerships with forward-thinking tech companies using artificial intelligence to enhance the consumer marketplace. Heed, a conversational AI recommendation platform, collaborated with springbig to develop a recommendation engine that suggests relevant products and categories to consumers. The integration streamlines the purchasing process and enhances customer satisfaction by aligning products and services with consumers’ preferences. Additionally, springbig partnered with Pluggi to integrate their AI budtender widget into its platform. The integration drives loyalty rewards enrollment and offers pertinent data that dispensaries can use to develop personalized marketing campaigns. Together, these AI-powered solutions align consumers, retailers, and brands, to result in the optimal consumer marketplace.

Marketers Gain Holistic Campaign View by Having TikTok Ad Delivery Data Alongside Other Channels; Integration Provides Campaign Management Intelligence for Programmatic, Direct, Search and Social

Basis Technologies , a leading provider of cloud-based workflow automation and business intelligence software for marketing and advertising, today announced an integration that allows its advertiser users to have access to real-time performance data from TikTok’s self-serve platform. Driving interoperability in digital media, Basis is providing this functionality to give marketers holistic campaign insights from all channels being utilized including programmatic, direct, search and social.

As people use more websites and apps, digital media becomes more complex. This makes it more difficult for advertisers, as they must work with many different platforms and vendors, each with their own unique features and interfaces. Basis simplifies this challenge by providing a central hub for managing campaigns across different platforms, making it easy to understand and optimize performance data.

“Basis Technologies is empowering teams that orchestrate wide-ranging campaigns to centralize information in a single hub as they synchronize with departments, team members, partners and customers,” said Amy Rumpler, SVP of search and social services, Basis Technologies. “By ingesting data from TikTok, one of the fastest growing ad channels, to Basis, we are automating an important step in marketing accountability and reporting. In real-time, marketers can leverage Basis to see how disparate ad channels are performing and take quick action in how and where they are spending.”

Basis rationalizes ad delivery metrics from major ad servers, social and search vendors, and its integrated demand-side platform (DSP). Its delivery data integrations, which currently include Google Search, Microsoft Bing, Facebook, Instagram and LinkedIn, automate the process of cross-channel campaign planning, performance tracking, and pacing. This significantly reduces the time media professionals need to check on the health of campaigns in flight, make adjustments, and assemble and unify reports.

Benefits of Basis’ automated data feed from TikTok and other ad platforms include:

• Revenue: eases the daily responsibility of catching mistakes to ensure that every dollar across channels is delivered and financial reconciliation moves forward with accuracy and speed.
• Speed: removes steps and saves time from having to log into multiple platforms to check pacing of individual campaigns; enables media professionals to identify and react to issues faster.
• Control: empowers media buyers to pace and optimize campaigns, as well as analyze cross-channel campaign performance based on a holistic view
• Clarity: reduces the need to track third-party sources through manual spreadsheets or additional data analytics tools; enables a view of multiple sources from a centralized location.
• Intelligence: eliminates data silos and serves as a “single source of truth;” demonstrates how users’ ad interactions in various channels compare to overall campaign engagement.

Most media management systems and DSPs do not have integrations with social media ad sources that allow automated standardization of reports. Basis users don’t have to log into third-party systems, locate campaign data, download spreadsheet reports with dozens of line items, and clean up reports to align them with the preferred arrangement of data. By using Basis to gain insights on campaigns running on TikTok and other channels, marketers can see performance data in real-time.

Basis capabilities include ad buying via programmatic, vendor-direct, search and social. The platform’s nucleus is a top-rated omnichannel DSP complete with programmatic guaranteed and private marketplace deals.

Accelerating efficiencies, reducing costs, and maximizing revenue for broadcast stations

WideOrbit, a market leader in broadcast TV and radio inventory and revenue workflow management, today announced the latest release of WO Traffic, the company’s flagship broadcast media ad traffic operations platform. Already the solid foundation from which US local TV and radio broadcasters manage, execute, and scale ad traffic, WO Traffic v23.0 introduces key benefits to stations and station groups, helping generate new revenue, reduce costs, and improve efficiency with enhanced spot-level order validation, streamlined material approvals, the convenience of multi-select for mass import of Material Instructions, and more.

WideOrbit remains committed to investing in its core product and working closely with customers to deliver benefits that positively impact their operations, improving existing processes and finding innovative ways to help media companies navigate a rapidly changing industry landscape. The newest release of WO Traffic introduces significant improvements to the user experience, streamlining workflows to improve efficiency and productivity.

“We have received some great features from WideOrbit upgrades in the past but the benefits of WO Traffic v23.0 are some of the best we’ve seen,” said Pam Friesen, Traffic Manager at Griffin Media. “Our manual effort for displaced spots alone has been cut by half the time. Traffic and Sales are both very excited to work with the new features.”

“WideOrbit is committed to continuous innovation and investment in our core products,” says Susie Hedrick, WideOrbit President and Managing Director, Traffic Systems. “Each of the enhancements introduced in WO Traffic v23.0 work together to deliver benefits such as improved workflow efficiency and ease of use, helping our customers accomplish more in less time.”

Highlights of WO Traffic v23.0 benefits include:

• Orders+: Major enhancements include a new look, additional functions, and the ability to multi-select single Orders to quickly create an Orders+ Group
• Property Add to Profile: New options to add a Property more easily to Advertisers, Agencies, Credit Profiles and Contacts
• Format Details Report: A new report that brings together Format Instance Details across days, Properties and Channels, with an efficiency tool for working with many formats across Properties at once
• Zoom: Frequently requested by clients, a new Zoom option provides a user-controlled option to increase the entire application size, including fonts and grids
• Order Validation: Now expanded to support validation rules for Spot-level values
• Material Approval reimagined: Streamlined Material Approval workflow, including an enhanced Status tab on Materials
• Electronic Materials: The ability to multi-select and mass import Electronic Materials, creating many in a single action
• Political Type: A new Political Type field offers a centralized way to identify political advertising on Advertisers and Orders, with a reporting tool in Revenue, Pacing, and Spot Details

Clients can realize further benefits from the following additional enhancements to WO Traffic v23.0: An added process to receive and view lift impressions for ads not replaced on a stream when using WO Traffic’s Addressable Ad Replacement; Digital Orders enhancements; new Placer conflict and override tools for managing oversell of bookends; an optional process at log finalization for creating up to 7 days of automation-ready playlist files for use in the event of an emergency; an Electronic Material Instructions Trial tool that allows users without a license to “test drive” the module by creating their own simple Electronic Material Instructions records and importing them.

WO Traffic v23.0 is now available for general release. Please contact WideOrbit for more information on how to upgrade your existing version or to learn more about WO Traffic.

AI-powered Intelligent Director enhances connection and optimizes the conference room experience for hybrid work, using multiple cameras to give every participant their own space in Zoom Meetings

Today Zoom Video Communications, Inc. announced the launch of the award-winning Intelligent Director for Zoom Rooms. For hybrid meetings with a Zoom Room, Intelligent Director uses AI and multiple cameras to provide the best image and angle of participants in the room so remote participants can see each person clearly, even in large conference rooms.

“As more people return to the office, it’s no longer enough to deliver the best remote worker experience; every business needs a solution to deliver the best hybrid meeting experience,” said Smita Hashim, chief product officer at Zoom. “Even with some employees in the office, oftentimes other team members are dispersed, so meeting equity and inclusion become more important than ever. Intelligent Director is the solution that can bring employees together, regardless of location, so they can truly connect face-to-face.”

Intelligent Director is specifically designed for medium- to larger-sized rooms and helps avoid the “bowling alley effect.” Intelligent Director can individually frame up to 16 participants in a Zoom Room using multiple cameras, choosing the best video stream via a Zoom-designed AI, and send that stream to the gallery view of the Zoom Meeting.

An evolution of Zoom’s Smart Gallery feature, which uses a single camera and AI to give each person in a small to medium-sized room their own space in a Zoom Meeting, Intelligent Director takes this same technology to the next level for larger conference rooms.

For bigger meeting spaces, it is easier to be hidden by others when only using a single camera, so Intelligent Director’s multi-camera configuration and use of video AI technology provide meeting equity to everyone in the room, selecting the best view of each individual, even if they move around or turn their heads. Remote participants can now have face-to-face conversations with each Zoom Rooms participant, allowing in-room participants to be seen and heard.

Integration of Azure OpenAI Service extends Indico Data's enterprise large language model ("LLM") capabilities and enables insurance carriers to dramatically increase underwriting and claim intake capacity and improve processing efficiency.

Indico Data, a leader of intelligent intake solutions for unstructured data, today announced the launch of its integration with Microsoft Azure OpenAI Service to extend Indico's Enterprise Large Language Model (LLM) capabilities using the latest in generative artificial intelligence (AI). Initial use cases will focus on enabling insurance carriers to dramatically increase underwriting and claims intake capacity and improve processing efficiency. As the pioneers in the use of Enterprise LLMs, the integration is yet another step in the company's overall strategy of providing the leading solution for the transformation of unstructured data into actionable insights to drive better intake and better outcomes for insurers and their customers.

The integration with Azure OpenAI Service technology is another milestone in the company's long storied history of innovation and success in AI. Indico's co-founder Alec Radford published the seminal generative AI paper on DC-GANs, which is still one of the most cited papers to be published in this space. This foundation paved the way for what we're seeing today with generative AI: DALL-E, Stable Diffusion, and – of course – GPT-4. In addition, Indico was the first to market with a secure large language model solution for the enterprise and has maintained a strong leadership position in the rapid adoption and deployment of subsequent innovations such as BERT, RoBERTa, GPT-2, GPT-3 and more. 

Already a partner with Microsoft, Indico is now deepening its relationship by leveraging the latest generative AI capabilities built on highly secure, enterprise grade cloud technologies. The first product enhancements to be released will include the Indico Prompt Studio and Summarization Studio. Both features take advantage of Azure OpenAI Service to allow users to dramatically accelerate the ease and speed at which they can automate processes, in some cases going from days to hours.

Integrated with Indico's patented Intelligent Intake application interface, Indico's Prompt Studio will fully automate the creation of custom machine learning models by just describing with a simple text prompt the desired data elements to be classified and extracted from the submissions related to claims, underwriting and policy servicing. This accelerates machine learning model creation from days to minutes, accelerating customer time to value. For data security, these models are then converted to use Indico's Enterprise LLM entirely within the customer's firewall. 

Indico's Summarization Studio integrates with Azure OpenAI Service to extract claims and policy data and present a summarized view of all related policy details to the analyst. The summarized view supports decision making and points out anomalies in an effort to expedite "covered or not" decisions. By utilizing state of the art machine learning, users are now able to "interrogate" submitted documents and produce summary data that typically take hours to research and create manually.

Looking into the future, Indico also plans to enhance its workflow canvas with a variety of no-code features through Azure OpenAI Service, enabling users to customize Indico workflows to meet their specific business needs without requiring custom coding.

"We are thrilled to utilize the power of Azure OpenAI Service to the insurance industry and beyond," said Tom Wilde, CEO Indico Data. "As the pioneers of enterprise large language models, we are huge believers in the impact this breakthrough innovation can bring to the unstructured data challenges that are so pervasive in industry to power decisioning and analytics platforms across the enterprise."

Jim DeMarco, Director of Insurance Strategy at Microsoft added, "Indico Data's integration with Azure Open AI Service helps customers unlock new insights at massive scale and speed. Their solution will help insurers and other regulated firms securely unlock new insights from their structured and unstructured data."

Insurers stand to benefit greatly from the efficiencies gained by leveraging Indico Data with Azure OpenAI Service. The increase in speed and accuracy coupled with expanded underwriting and claims processing will lead to faster response times, increased gross written premiums and improved customer satisfaction.

Generative AI can fix accessibility issues up to 10x faster, illustrating tremendous potential for the responsible use of AI when combined with human expertise

AudioEye, Inc. , the industry-leading enterprise SaaS accessibility platform for websites and apps, shared findings from a collaborative initiative with accessibility experts from the disability community on the effectiveness and impact of generative AI on identifying, fixing, and communicating accessibility issues that typically require expert review. AudioEye accessibility experts, including those who rely on assistive technology, found AI could reduce the time required to assess and correct a complex accessibility issue — such as determining whether a link is clear and accurate — by up to 10x.

"These results demonstrate strong potential for using generative AI when paired with the right expertise and guidance," said Diego De La Cruz, a digital accessibility expert who conducts testing for AudioEye customers. "What sets this pilot study apart is the direct involvement of members of the disability community, who rely on assistive technologies such as screen readers and keyboard navigation, in identifying the potential of AI. There is a lot of excitement in the community about what we learned here and how it can inform and speed up improvements in the future."

The study, which used a Large Language Model ("LLM"), showed promising results for using generative AI in addressing one of accessibility's biggest impediments — a scalable solution for identifying and fixing complex accessibility issues that typically require time-consuming human analysis. More specifically:

• AI identified fixes for a complex accessibility issue that were nearly on par with those generated by human experts (see Link Purpose below in "Methodology").
• Using AI-generated fixes as a starting point, human accessibility experts achieved up to a 10x reduction in the time required to identify a code-based solution and communicate how to implement the update to a developer.
• The results show potential for human experts to utilize AI technology to significantly save time and increase the scale at which they can identify and fix more complex digital accessibility issues.

"Everyone is talking about AI," said David Moradi, CEO of AudioEye, "but when it comes to digital accessibility, a thoughtful and fact-based approach is needed to ensure AI is enhancing and not hindering digital access for the 1.3 billion people with disabilities around the globe. But with only 3% of the world's websites currently considered accessible, we cannot overlook any technology with the potential to accelerate closing this critical gap. Working directly with members of the disability community to manage both the advantages and risks of AI is imperative."

AudioEye will continue working with the disability community to fully leverage AI's potential to serve the needs of the accessibility community at scale.

Methodology
The study measured how the outputs of LLMs compare with what a human expert would produce when asked to (1) fix inaccessible HTML and (2) write developer-appropriate advice to fix the issue in the HTML. AudioEye's pilot explored a single accessibility issue: Link Purpose (WCAG SC 2.4.4 and 2.4.9), a standard that is designed to ensure that links are clear and understood by all users. Digital accessibility experts were anonymously given the results of both human and AI-generated fixes (20 total) and graded how well each fix addressed the issue. The results demonstrated up to a 10x reduction in time for AI to identify and communicate a fix to these issues. AI responses were graded slightly lower in terms of recommended fix and HTML accuracy by the human experts.