Developed by TamTamy Reply, the Reply group company specialising in the design and development of digital communities, AI Live Posting utilises generative artificial intelligence and automation to support the creative and editorial activities of Social Media Teams, giving them a new approach to content creation and empowering them to promote events in real-time with increased user engagement on social media platforms.

AI Live Posting shines in live event scenarios, where it captures real-time speeches and instantly transforms them into engaging posts. Leveraging artificial intelligence, speeches are transcribed, analysed, and converted into captivating posts, akin to tweets, enriched with creative visuals ready to be shared across various social or mobile platforms. The solution offers flexibility in customising the tone of the text and the style of the generated images, making it suitable for various types of events such as conferences, product launches, and sports events.

With AI Live Posting, Social Media teams can benefit from a solution that enhances their creativity, generating unique and engaging content tailored to their target audience, while also improving productivity. Thanks to the integrated artificial intelligence engine, utilising OpenAI and Stable Diffusion technologies, it is possible to automatically create and publish new textual and visual content in real-time, reducing the need for manual extraction and reworking of information. Manual intervention, required for content review through a dedicated dashboard and post-moderation on channels, ensures consistency with the brand identity, preserving greater speed in content creation and publication.

AI Live Posting can be used as a standalone solution or in combination with TamTamy, Reply's proprietary Digital Workplace and Enterprise Social Network platform.

Ahead of its launch event, “ON24 Next,” ON24 announces new intelligent engagement platform

Today, ON24 marks the next chapter of its innovation strategy with the launch of its next generation intelligent engagement platform. With AI-powered intelligence at the core, ON24 will now enable enterprises to continuously engage audiences through hyper-personalized experiences that deliver connected insights and drive cost-efficient revenue growth. 

“AI will fundamentally reshape sales and marketing and reimagine the customer experience. This means that sales and marketing teams must embrace AI to innovate and adapt, or risk being left behind,” says Sharat Sharan, co-founder, President and CEO. “With the launch of the ON24 Intelligent Engagement Platform, we are excited to leverage our unique foundation of first-party data to give our industry-leading customers an AI advantage, so that they can combine best-in-class experiences, personalization and content, to capture and act on connected data and insights at scale to drive revenue growth. And, we believe AI will continue to be a key differentiation for our own business and technology strategy moving forward, powering a new era of intelligent engagement.”

Built on its foundation of first-party data, the ON24 Intelligent Engagement Platform combines best-in-class digital experiences, including the company’s flagship webinar, virtual event and content marketing products, with its new AI-powered Analytics and Content Engine (ACE) to provide an integrated go-to-market solution. The platform’s comprehensive set of capabilities will help sales and marketing teams to:

• Scale personalized experiences: Build best-in-class, branded experiences that reach their prospects and customers at scale and are hyper-personalized for individuals.
• Automate continuous engagement: Interact with prospects and customers 24/7 through AI-generated content and always-on nurtures.
• Deliver connected insights: Track audience engagement data across interactions and analyze engagement across key audience segments.
• Drive revenue growth: Enable data-driven actions across go-to-market teams to generate pipeline and build lifetime customer relationships.

“Today’s launch of the ON24 Intelligent Engagement Platform brings our AI innovation together with more than a decade of market leadership, product development and first-party engagement data,” said Jayesh Sahasi, EVP of Product and CTO at ON24. “We believe this will unlock even greater value for our customers, providing AI-powered intelligence that keeps getting smarter, more personalized and more effective over time.”

Consumer appetite for subscription streaming services has transformed the industry over the past decade, but exclusive new data from Omdia has found a notable shift in subscription video on demand (SVOD) 'stacking' behavior.

According to Omdia's data, there has been a significant change in the way consumers are subscribing to multiple streaming services. Previously, consumers would often stack multiple subscriptions to gain access to a wider range of content. However, the new data suggests that there has been a shift in this behavior, indicating that consumers are becoming more selective in their choices and opting for a more focused approach to their streaming subscriptions.

Discussing the trends, Maria Rua Aguete, Omdia Senior Research Director revealed that the countries where the growth of streaming and studio services (advertising video on demand and SVOD) are showing signs of slowing down are the US, and Brazil. "After over half a decade of steady growth, we're observing a shift in how paid video services are consumed. The traditional model of stacking multiple paid services is losing ground. This is partly driven by the increasing popularity of free ad-supported television (FAST) channels, which are becoming a preferred choice for supplementary viewing."

The number of SVOD subscriptions per household in the US was approaching 3.5 in April 2023, but Omdia's research has found that number fell more than 10% to under three services by November 2023.

In line with Omdia's forecasts, FAST has remained on track to become a prominent service in the US, with weekly users of these channels representing 46% of total video users. Brazil has also seen a dramatic rise in FAST viewership, with weekly users now accounting for 36% of the video audience, a 4.5-fold increase from 2020.

The UK, another key player in the FAST market, has seen a surge in FAST viewers, now representing 21% of total video users.

"The FAST channel market continues to witness strong growth in the UK, Canada, and Brazil, with revenues projected to reach $8bn by 2024. This poses both opportunities and challenges for service providers as they adapt to the changing landscape to keep up with evolving viewer demands," concludes Rua Aguete.

Surveying 150 senior marketers, the study looks at the impact of AI on privacy and the future trajectory of data privacy

AppsFlyer, the world’s leading mobile marketing analytics and attribution platform, and MMA Global, a leading not-for-profit marketing trade body, today jointly released its first-ever privacy benchmarking study. The survey of 150 senior marketers and data privacy leaders across various sectors explores the complex landscape of data privacy, including its current state and future trajectory. 

As debates over data and AI continue to shape the landscape of marketing, understanding privacy implications is a vital concern for industry-leading brands and media owners. It also introduces a new, first of its kind, comprehensive framework to approach privacy as a source of competitive advantage that allows marketers to match up their own privacy preparedness to their peers who were surveyed. The key theme from the inaugural research report shows there is a growing need to further enhance privacy maturity, the gap in providing true choice and control to consumers, and a need for more investment in training and awareness.

“From industry changes to global legislation and regulation, data privacy has been top of mind for marketers seemingly since 2018,” said Tami Harrigan, VP of the AppsFlyer Privacy Cloud. “For the first time, we’re now able to share with the ecosystem more transparency into how companies are delegating privacy responsibilities and business and safety priorities when it comes to data privacy. This is just a first step – companies need to focus on their proactive privacy practices, ensuring marketing teams are able to provide true choices and control to consumers, and are creating a privacy culture that focuses on consumer data needs.”

The study found three distinct orientations to data privacy, dependent on who owns the privacy strategy within the organization and the underlying data assets available to the company. Their priorities also were vastly different when it came to overseeing privacy practices:

1. A classic Privacy orientation owned by the Chief Privacy, Security or Legal officer (36% of total)
   • Typical for companies with a significant volume of data, necessitating an approach centered around security and risk mitigation.
   • Prioritization of Risk Mitigation more than Business Outcomes
2. A Technology orientation, owned by a Chief Data or Information Officer (36% of total)
   • More likely linked to organizations where there is a stronger focus on value extraction from data, as well as prioritization of data quality.
   • A technology-driven approach to privacy prioritizes a value exchange with consumers aiming for better access to personal data.
3. A Marketing orientation, typically owned by CMO (25% of total)
   • More likely linked to companies that have lower access to data, yet, do more experimentation with a variety of data signals.
   • Importantly, when CMOs lead privacy efforts, they tend to prioritize brand reputation and marketing outcomes from their privacy initiatives.

“Although we are seeing marketers moving in the right direction, more work is needed to approach privacy more holistically and quantify its business case,” said Vas Bakopoulos, MMA Global’s SVP of Research. “Companies are beginning to realize that investing in privacy enhancing technologies while also building a value exchange with consumers can be a source of true competitive advantage, driving brand reputation and even revenue outcomes.”

“Privacy is at or near the top of mind for most marketers and companies,” continued AppsFlyer’s Harrigan. “But as we see from the results, more needs to be done in a proactive sense. To lead in the age of generative AI and new privacy enhancing technologies, we urge senior leaders to leverage the privacy framework roadmap found through this study to raise maturity and to get ahead of emerging risks through PETs like data clean rooms. Organizations who recognize the need for increased privacy measures, beyond mere compliance, will succeed compared to their successors as they future-proof their privacy practices.”

Pega GenAI Knowledge Buddy™ easily synthesizes knowledge scattered across content libraries to quickly get answers to employee and customer inquiries

Pegasystems Inc., the leading enterprise AI decisioning and workflow automation platform provider, today announced Pega GenAI Knowledge Buddy™, an enterprise-grade, generative AI-powered assistant that will quickly and easily enable customers and employees to get specific answers synthesized by generative AI from content scattered across knowledge bases. Pega GenAI Knowledge Buddy uniquely combines an innovative AI architecture with security features so organizations can transform how users access knowledge while adhering to high standards of trust and responsibility.

Enterprise knowledge content is frequently too hard to find, too complicated to understand, and too disconnected from employee and customer workflows to be useful. Information is stored within lengthy, dense documents that are fragmented across dozens of disconnected systems, leaving employees to repeatedly search to piece together the information they need to do their jobs. This also impacts customers who can’t quickly get answers using self-service channels, leading to collective frustration for all users. Generative AI bots can help in theory, but most tend to be consumer-grade products that lack the critical features enterprises need to work securely and effectively, or code-based “science projects” that are far too brittle to handle the constant flux and change in an enterprise content library.

Pega GenAI Knowledge Buddy will offer enterprises an alternative. With Knowledge Buddy, customers and employees can ask questions through simple, conversational interfaces and get specific, accurate, audited, and concise responses – with transparent attribution to source content. Knowledge Buddy will automatically search, analyze, and synthesize existing document libraries to quickly generate answers. Users can also ask Knowledge Buddy to generate new content, such as emails or documents, based on their existing libraries. Additionally, security features give organizations control over user access rights as well as transparency to understand how and from where the technology pulls information. Content authors will be able to easily add, update, or delete knowledge, with all actions managed and audited by Pega’s industry-leading workflow automation.

Organizations will be able to easily configure unique Buddies for different use cases – such as answering marketing, operations, sales, or service questions – and quickly integrate them into any internal system or digital channel. The results: more productive employees, more satisfied customers, and more effective overall operations.

Pega GenAI Knowledge Buddy will help organizations securely unlock the full power of their knowledge bases with features that enable them to:

• Quickly and securely configure and test AI-powered assistants: Administrators will have full control over the behavior and security of their Buddies. Through a simple configuration experience, they can define and test AI-assistant prompts, guidelines, and access control. Existing content libraries are quickly imported with standard APIs. Pega’s enterprise-grade security and governance capabilities enable organizations to define role-based visibility across content bases to help ensure users have access to the appropriate information.
• Use controls to ensure quality content and user access: Knowledge Buddy maintains a history of content updates so users can understand what’s changed over time. Additionally, fine-grained controls over content ownership help ensure only approved users can add or update specific content, maintaining better version control and quality content sources.
• Leverage generative AI-powered Q&A for better accuracy and transparency: For each Buddy configured, Pega GenAI™ automatically enables an intelligent Q&A experience using a state-of-the-art Retrieval Augmented Generation (RAG) architecture. RAG minimizes the risk of AI hallucination by restricting GenAI models to only answer based on the client’s content in their enterprise knowledge base. Compared to other approaches that require ‘fine tuning’ a private model, this allows more rapid evolution of content without the considerable ongoing cost and hallucination risk of fine tuning. Knowledge Buddy is deployed on the certified Pega Cloud™ architecture, so administrators and developers can focus on optimizing the user experience – not coding the infrastructure.
• Ensure better auditability with more transparent processes: Answers generated by Buddies include clear citations back to an organization’s own content so users can easily validate answers or drill deeper into content. Additionally, conversations are tracked and audited so content managers can better report overall usage and gain insight into the types of questions being asked to fine-tune Buddies over time.
• Connect AI-powered assistants into service and operations apps: Pre-built widgets for Pega applications such as Pega Customer Service™ and a set of auto-generated APIs let developers plug different Buddies directly into any channel or front end for easy activation across their employee and customer population.
• Plug AI-powered assistants into customer-facing websites: Enterprises can optimize their self-service experiences by embedding Knowledge Buddy into existing websites and chatbots. This enables customers to get answers quickly and more accurately without escalating to an agent.

With Pega GenAI Knowledge Buddy’s flexible foundation for rapid deployment of generative AI-powered knowledge assistants, organizations can create their own customized Buddies for a variety of scenarios, such as:

• “Marketing Buddy:” When a marketer needs to create a new customer offer, they can ask, “What’s the best way to create a new retention offer?” to get a concise summary of documented best practices, followed by a step-by-step process to create the offer.
• “Operations Buddy:” When assessing how to process a transaction dispute in a new region, a banking operations employee can ask, “What are the details of the regulations that apply to this region?” and receive an instant answer rather than searching through compliance documents.
• “Sales Buddy:” When putting together a proposal for a prospect, a sales rep can say, “Draft me a proposal for our enterprise offering that would resonate with an executive,” to receive a near-final proposal rather than starting from scratch.
• “Service Buddy:” When a mobile phone customer wants to compare the terms of different plans, they can ask via chat, “What are the differences between each cell phone plan?” to get a concise summary instead of digging through website content.

Pega Knowledge Buddy also connects to knowledge libraries within Pega Knowledge Management, which allows organizations to build, manage, and optimize content by assisting content authors and managers during the curation process. Pega Knowledge Management enables content versioning and lifecycle management, content templates, AI-generated content tagging, generative AI content generation suggestions, user feedback, usage reporting, and more.

Pega Knowledge Buddy is the latest generative AI-powered capability in the Pega Infinity™ portfolio of products, building on over 20+ new capabilities in Pega GenAI. It will be available on Pega Cloud in the Pega Infinity ’24.1 release in H1 2024.

Among the first data catalogs to support Snowflake’s data quality metrics, data.world enables customers to measure data hygiene, strengthen trust in data-driven insights and decisions, and help make data AI-ready

data.world, the data catalog platform company, today announced an integration with Snowflake, the Data Cloud company, that brings new data quality metrics and measurement capabilities to enterprises. The data.world Snowflake Collector now empowers enterprise data teams to measure data quality across their organization on-demand, unifying data quality and analytics. Customers can now achieve greater trust in their data quality and downstream analytics to support mission-critical applications, confident data-driven decision-making, and AI initiatives.

Data quality remains one of the top concerns for chief data officers and a critical barrier to creating a data-driven culture. Traditionally, data quality assurance has relied on manual oversight – a process that’s tedious and fraught with inefficacy. The data.world Data Catalog Platform now delivers Snowflake data quality metrics directly to customers, streamlining quality assurance timelines and accelerating data-first initiatives.

Data consumers can access contextual information in the catalog or directly within tools such as Tableau and PowerBI via Hoots – data.world’s embedded trust badges – that broadcast data health status and catalog context, bolstering transparency and trust. Additionally, teams can link certification and DataOps workflows to Snowflake's data quality metrics to automate manual workflows and quality alerts. Backed by a knowledge graph architecture, data.world provides greater insight into data quality scores via intelligence on data provenance, usage, and context – all of which support DataOps and governance workflows.

“Data trust is increasingly crucial to every facet of business and data teams are struggling to verify the quality of their data, facing increased scrutiny from developers and decision-makers alike on the downstream impacts of their work, including analytics – and soon enough, AI applications,” said Jeff Hollan, Director, Product Management at Snowflake. “Our collaboration with data.world enables data teams and decision-makers to verify and trust their data’s quality to use in mission-critical applications and analytics across their business.”

“High-quality data has always been a priority among enterprise data teams and decision-makers. As enterprise AI ambitions grow, the number one priority is ensuring the data powering generative AI is clean, consistent, and contextual,” said Bryon Jacob, CTO at data.world. “Alongside Snowflake, we’re taking steps to ensure data scientists, analysts, and leaders can confidently feed AI and analytics applications data that delivers high-quality insights, and supports the type of decision-making that drives their business forward.”

The integration builds on the robust collaboration between data.world and Snowflake. Most recently, the companies announced an exclusive offering for joint customers, streamlining adoption timelines and offering a new attractive price point. The data.world's knowledge graph-powered data catalog already offers unique benefits for Snowflake customers, including support for Snowpark.

This offering is now available to all data.world enterprise customers using the Snowflake Collector, as well as customers taking advantage of the Snowflake-only offering.

 Qlik^®, a global leader in data analytics and integration, today announces the establishment of its inaugural AI Council – an initiative that further embeds leading edge, ethical AI development at the heart of the company’s mission and industry proposition. By convening a distinguished set of advisors, Qlik will accelerate the responsible development of its AI-driven product portfolio, benefitting from the expertise of some of the world’s most prominent AI experts, to help customers use their data to achieve more significant business outcomes.

Qlik’s Generative AI Benchmark Report found that 31% of senior executives plan to spend over $10 million on generative AI initiatives in the coming year and 79% have already invested in generative AI tools or projects. Despite this enthusiasm, it also found that they understand the need to surround them with the right data strategies to realize their potential. If the data building blocks of AI are not governed properly as it is democratized across the entire workforce, it could present a serious threat to the efficiency and integrity of business operations. The AI Council has been established to help Qlik’s customers navigate these challenges and advise on best practices.

Members of the Council will work within Qlik to guide the company’s R&D direction, inform its product roadmap and ensure its customers’ use of Qlik’s AI is built with responsibility and ethics front of mind. The Council will also educate Qlik leaders and employees on how to harness the full potential of AI, while providing insights into the priorities of business leaders tasked with demonstrating value from AI investment.

The AI Council features some of the most renowned subject matter experts from around the world. More information on these members can be found on our Qlik Staige™ website:

• Nina Schick – Author, Advisor and Founder of an advisory firm focused on GenAI
  A world-leading authority on generative AI, Nina has long been analyzing emerging technology trends for society. With over two decades of geopolitical experience, she has advised global leaders, including Joe Biden, President of the United States, and was articulating her vision of the ‘AI inflexion point’ years before ChatGPT made AI a global phenomenon.

• Dr. Rumman Chowdhury – Responsible AI leader, engineer, auditor and investor
  Rumman is a pioneer in the field of applied algorithmic ethics, creating cutting-edge socio-technical solutions for ethical, explainable and transparent AI. She is currently the CEO and founder of Humane Intelligence, a tech nonprofit that builds a community of practice around algorithmic evaluations. She has also served on multiple boards, including the UK Center for Data Ethics and Innovation, and on UN’s Broadband Commission for Sustainable Development, Oxford University’s Commission on AI and Governance, and Patterns data science journal. Previously, Rumman was the Director of META (ML Ethics, Transparency, and Accountability) team at Twitter, leading a team of applied researchers and engineers to identify and mitigate algorithmic harms on the platform.

• Kelly Forbes – Co-Founder and Executive Director, AI Asia Pacific Institute
  Kelly sits at the intersection of policy, research and industry, working with leading organizations and governments to address the risks associated with AI through international cooperation. With extensive experience in the Asia-Pacific region, Kelly has conducted research on AI governance, public-private dialogue and government policy issues.

• Dr. Michael Bronstein – DeepMind Professor of Artificial Intelligence, University of Oxford
  An award-winning academic, Michael was previously Head of Graph Learning Research at Twitter, a professor at Imperial College London and has held visiting appointments at Stanford, MIT, and Harvard. Michael is also a serial entrepreneur, having founded startups such as Novafora, Invision (acquired by Intel in 2012), Videocites and Fabula AI (acquired by Twitter in 2019).

"The formation of Qlik's AI Council is a strategic leap, reflecting our deep-seated commitment to not just advancing AI, but doing so with ethical integrity and practical applicability," said Mike Capone, CEO of Qlik. "Our goal is crystal clear: to enable our customers to harness AI in a way that's not only transformative, but also responsible. By uniting a cadre of AI luminaries, we are sharpening our focus on delivering AI solutions that are not just cutting-edge, but also seamlessly integrated and governed. This initiative is a pivotal chapter in our journey, marking a bold move towards democratizing AI in a manner that is both accessible and aligned with our core mission of driving substantial, data-driven business outcomes."

Data and analytics leaders from around the world can hear from the AI Council at Qlik Connect, which takes place on June 3-5 in Orlando, Florida. At the pre-eminent event for data analytics, integration, and AI, Council members will share their take on the opportunities and challenges for businesses exploring the value of automation in their data strategy. Additional details and event registration is at www.qlikconnect.com

“I am excited to join Qlik’s AI Council and work with some of the greatest minds in AI to optimize how businesses around the world use data,” said Rumman Chowdhury, member of Qlik’s AI Council. “We’ve reached an inflection point where innovations like generative AI are impacting the world as the internet did. This is not the time for complacency. ‘Adopting AI’ is not as simple as some suggest, but getting left behind is a risky game. By taking responsible steps, organizations can enter an era of unprecedented innovation – I look forward to being able to contribute to this evolution.”

“In working at JBS USA, I recognize the significance of Qlik's advancements in AI, embodying a responsible and pragmatic approach to enterprise AI development,” said Stephanie Robinson, IT Business Intelligence Manager at JBS. “Qlik's dedication to enhancing AI applications aligns with our focus on employing technology to drive substantial business outcomes. We value Qlik's commitment to ethical AI practices and are optimistic about the beneficial impact this will have on the industry.”

Survey from Basis Technologies Reveals How Marketers are Prepping for Google Chrome Cookie Block

 Basis Technologies, a global provider of programmatic advertising and media automation solutions, today announced survey results showing that half of marketing professionals do not feel that their organization is prepared to succeed in a cookieless world. Furthermore, although 66% of those surveyed said their organizations have implemented new targeting or measuring solutions within the last year to respond to Google Chrome’s deprecation of third-party cookies in 2024, a majority marketers say they have no intention of using UID 2.0 (62.7%) nor digital fingerprinting (63.2%). Basis Technologies’ study was conducted in November 2023 by more than 200 respondents at agencies, brands and publishers. The report, ‘Identity vs. Privacy: Digital Advertising in a Cookieless World,’ is available at: https://basis.com/reports/identity-vs-privacy-digital-advertising-in-a-cookieless-world.

Additional findings show that:

• More than one-third of marketers and advertisers (33.8%) do not believe they will be able to confidently reach target audiences if Google follows through on its plans to fully deprecate third-party cookies in Chrome in late 2024.
• A minority of marketers continue to wait -- 13% say they are exploring new identity solutions to implement in 6-12 months, and 11% have no current plans for new solutions.
• Contextual targeting (80.4%), first-party data (77.0%) and lookalike audiences (75.5%) are the most popular solutions industry professionals are already using. No other alternatives top 25% adoption.
• Popular cookieless alternatives that respondents will begin using in the next six months are Google’s Privacy Sandbox (38.7%), CDPs/identity resolution (26.5%), and data clean rooms (27.0%).

Respondents also provided opinions about the consumer impact of their work:

• 90.7% of marketing and advertising professionals believe that most people outside the advertising industry do not understand how their data is used for digital advertising, and 96.1% say they do not believe most people outside the advertising industry fully understand their data privacy rights.
• 88.2% of marketers and advertisers say they believe precise audience targeting and measurement is more important to their colleagues in the advertising industry than protecting consumer privacy.
• A majority of marketers (59.3%) want federal-level regulation of data privacy in the US. A third of respondents (33.8%) said they believe the industry should regulate itself.

As Google marches on to eliminate third-party cookies in Chrome, brands and agencies need strategies and techniques that overcome this challenge to audience targeting and campaign measurement. Basis Technologies’ survey provides insight into the current state and future trajectory of identity and privacy in marketing and advertising – illustrating how marketers have been navigating a cookieless advertising world and how they intend to move forward.

“Marketers need to take action. The industry is approaching deadline time for a cookieless Chrome, and our survey shows that fewer than half of advertisers are ready for a cookieless world,” said Ryan Manchee, SVP of brand marketing, Basis Technologies. “It’s critical for holdouts to start testing and implementing new solutions immediately to ensure business continuity. Although brands and agencies may not have all the answers in-house, there are many peers and organizations in ad tech that can provide guidance for the next generation of customer targeting and measurement on digital channels.”

Basis Technologies’ platform is composed of integrated applications that automate manual operations, standardize business processes, and improve marketing and advertising performance. 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.