Cisco today announced it is making changes to its product categories and customer markets to simplify and enhance its reporting to investors and other stakeholders.

Effective Q1 FY 2024, Cisco will report its product and service revenue in the following categories: 

• Networking
• Security
• Collaboration
• Observability
• Services

Cisco will report its customer markets in the following categories effective Q1 FY 2024:

• Enterprise
• Public Sector
• Service Provider & Cloud

These revised product categories and customer markets will be used in the Q1 FY 2024 conference call scheduled for Wednesday, November 15, 2023.

Cisco's reportable segments will continue to be based on its geographies which consist of the Americas, EMEA, and APJC.

A critical need for future-proofed, sustainable marketing measurement & attribution solutions supporting growth in an always-on and connected environment is driving industry demand

Ipsos MMA, the globally recognized leader in marketing performance measurement and ROI analytics, unveils powerful enhancements to its market leading innovative Agile Attribution Platform. In response to the imminent deprecation of cookies and the continued data privacy concerns among consumers, Ipsos MMA has introduced Agile Attribution, a unified marketing measurement platform which integrates holistic marketing mix models, with micro-level models using advanced machine learning algorithms, and continuous market validation into a single insights and optimization platform. This strategic development reaffirms Ipsos MMA's unwavering commitment to continuous innovation, its focus on providing the industry marketing investment decision-making that can be validated through increasing marketing value and its proactive approach to tackle the evolving challenges of data privacy. 

Navigating the Changing Landscape

Multi-touch attribution (MTA) had long been an effective tool in marketers' arsenals, providing insights into customer journeys, campaign and placement level effectiveness, and resource efficiency across attributable media tactics. However, with the diminishing reliability of third-party cookies and escalating concerns surround data privacy, marketers are in search of alternative solutions that achieve the same or better results.

Ipsos MMA recognized the urgent need for a more adaptable, agile and privacy-conscious approach. The introduction of Agile Attribution three years ago has been adopted and validated by global clients across multiple industries.  This latest evolution has positioned Ipsos MMA at the vanguard of innovation, ensuring that clients can continue to access detailed insights into their marketing performance and ROI, as well as driving both short and long-term marketing results in terms of achieving measurable gains in sales and brand equity.

Revolutionizing Marketing Measurement

Ipsos MMA's Agile platform, fueled by cutting-edge analytics, empowers its clients to comprehensively assess marketing effectiveness across media channels, publishers, campaigns, creative, audiences and ad formats, both online and offline, without reliance on individual user data. This advanced approach seamlessly synthesizes econometric modeling, data science, AI, and machine learning, enabling monthly, weekly and daily measurement and optimization.

Key Benefits of Ipsos MMA's Agile Attribution Platform:

1.  Aggregate-Level & Micro-Level Media Insights: Powered by traditional marketing mix models coupled with micro-level attribution modeling, Agile offers a deeper understanding of how media investments, pricing, promotions, operations and external factors impact sales and customer behavior, leading to improved marketing effectiveness, efficiency and more accurate forecasting results.
2. Unparalleled Agility: Clients can benefit from monthly and even weekly/daily model results, allowing for swift adjustments to marketing allocation strategies based on near-real-time insights. The platform dynamically identifies and automates the delivery of the most relevant, tactical simulation, optimization and next-best-action recommendations based on key priorities and KPIs.
3.  Comprehensive Insights: Agile Attribution considers macroeconomic impacts, base consumer propensities, relative price position, creative factors, salesforce effectiveness, and competitive activity, among other key variables to ensure a true quantification of incrementality across platforms and channels.
4. Ongoing, in-market validation and recalibration: Integration with testing ensures the accuracy and reliability of the platform's insights.

Rob Cardarelli, Ipsos MMA's Executive Vice President, Analytics and Attribution, explains, "Agile Attribution represents a monumental leap in the evolution of marketing measurement. With Ipsos MMA's Agile platform, we've harnessed the power of cutting-edge analytics and AI to provide our clients with granular, rapid insights for agile marketing decision-making. This innovation addresses the challenges of data privacy and the lack of third-party cookie data, enabling our clients to make informed decisions and optimize their marketing strategies with unprecedented precision."

Case Example: Telco Provider – Unlocking Marketing Excellence

A telco service provider faced the complex challenge of optimizing its vast marketing investment in media channels and promotional offers, and across a diverse range of geographic regions, asked Ipsos MMA for a comprehensive solution. The Agile Attribution platform identified specific, actionable insights and their associated value-proposition, enabling the telco provider to answer the following questions:

1.   Media Optimization – Strategic Precision:

• What is the optimal balance of upper/mid/lower funnel tactics, channel-level strategies, creative approaches, targeted audiences and reach & frequency thresholds at the regional level?

2.    Product Allocation – Resource Allocation Wisdom:

• How should the telco allocate its marketing spend across different lines-of-business, such as prepaid vs. postpaid, and wireless vs. internet vs. video?

3.    Promotional Strategy – Crafting Effective Offer Combinations:

• What is the optimal promotional offer type and combination, including pricing, bundles, device trade-in credit, BYOD (Bring Your Own Device), new account incentives, add-a-line promotions, upgrades, and gifts/freemiums?

Ipsos MMA's Agile Attribution platform was able to provide insights and optimization recommendations not only within each marketing silo (media, product and promotion) but as a combination across all three levers at a DMA level, providing the ability to fine-tune the holistic marketing mix for maximum impact in each geographic area. In this real-world scenario, the Agile optimization solution yielded a potential 10% month-over-month increase in gross additions with neutral spending. These results speak to the platform's effectiveness in enhancing strategic marketing decision-making.

"Our Agile Attribution platform doesn't just deliver marketing performance insights; it sets a new standard for excellence in the industry, and our clients are absolutely thrilled with it," exclaimed Charlie Hinton, Vice President, Analytics Consulting at Ipsos MMA. She went on to emphasize, "Agile isn't just a tool; it's a transformative force, especially for businesses grappling with complex marketing mixes. It has the potential to revolutionize go-to-market strategies for clients, optimizing investments across a multitude of critical areas including multiple lines-of-business, pricing and promotions, and media investments. The power of Agile is truly unparalleled."

Secuvy, the pioneer in unified data security and privacy, today announced that seasoned sales executive Ediz Ertekin has been appointed Chief Revenue Officer (CRO), and cybersecurity executive Doug Vinson has been appointed Chief Marketing Officer (CMO). Reporting to Secuvy CEO Vaibhav Mehrotra, Ediz and Doug will assume their new roles in Secuvy’s Leadership Team immediately to power the company’s next phase of growth.

Secuvy further strengthens its Leadership Team with the addition of software industry veteran Mike Seashols as Executive Chairman. Mike brings 30 years of experience as a CEO and investor of high-tech companies in Silicon Valley. Mike was the first VP of Marketing and Sales at Oracle and led the company through its IPO.

Secuvy expands its Advisory Team by adding Security veteran Nick Shevelyov, and Privacy expert Debra Farber demonstrating the company’s commitment to building solutions that help customers solve complex and evolving data security and privacy challenges on a unified platform. Additionally, Secuvy has added Harry Gould as a veteran alliances and sales executive of highly successful high-tech companies. Harry brings to Secuvy his unique expertise in building an Alliance and Partner Program.

"We believe the future belongs to privacy-driven security on a single platform, and that no one is better positioned than Secuvy to leverage the power of self-learning AI. We need next generation solutions to solve new-age problems of evolving data privacy and security landscape," said Vaibhav Mehrotra, CEO of Secuvy. "With the expansion of our leadership, we are bringing talent and expertise to bear to scale our business and market presence during a period of rapid growth for the data protection industry."

Secuvy’s Data Trust Platform^TM allows global enterprises to leverage self-learning AI algorithms to enable deep discovery of their data at light speed, with a depth and relevance only provided by Secuvy. As Secuvy grows across industries and geographies, the company is rapidly expanding its Data Trust Platform^TM to meet the needs of a dynamic market. The data intelligence provided by Secuvy’s Data Trust Platform^TM at enterprise scale contributes immeasurably to customers’ ability to discover and protect sensitive data and comply with ever-evolving global privacy and security laws.

“Secuvy has a team of seasoned operators, advisors and investors,” said Ertekin. “I am looking forward to accelerating our growth and innovation.”

“Secuvy is on the cusp of explosive growth, fueled by a veteran team, pioneering AI-powered solutions, and backed by several of the most reputable investors in the industry,” said Vinson.

Additionally, Secuvy is proud to announce the launch of its new website where enterprises can learn first-hand how to tap into the power of self-learning AI to build deep data intelligence at enterprise scale. You can meet the Secuvy leadership team at IAPP’s Privacy. Security. Risk. 2023 Conference on October 5th and 6th in San Diego.

Infor recognized for completeness of vision and ability to execute

Infor^®, the industry cloud company, today announced that Gartner^® Inc. has positioned Infor, for the third consecutive time, as a Leader in the 2023 Gartner Magic Quadrant™ for Cloud ERP for Product-Centric Enterprises.  

Infor's position as one of the Leaders in this Gartner Magic Quadrant is based on the Gartner evaluation of Infor's ability to execute and completeness of vision.

"We are honored to be recognized by Gartner as a Leader in this Magic Quadrant for the third straight year," said Soma Somasundaram, Infor president & CTO. "We believe Infor's position as a Leader reflects our ability to deliver to our customers complete, industry-specific solutions, a digitally enabled open platform that provides ease of integration, and hyper-productive workflows that improve time to value."

In its 2023 Magic Quadrant for Cloud ERP for Product-Centric Enterprises, Gartner notes that, "Product-centric organizations are adopting cloud ERP applications with superior process automation and analytic capabilities. Application leaders should use this Magic Quadrant to evaluate cloud ERP vendors as part of a composable strategy that emphasizes process standardization and agility."

Infor CloudSuite solutions are industry-specific and are delivered as cloud services on Amazon Web Services' (AWS') secure and scalable infrastructure. Infor CloudSuites utilize Infor's leading technology platform, Infor OS, to power next-generation user experiences, integration and workflows, which can help increase productivity and collaboration. 

AlphaSense furthers its leadership in AI and search with new platform updates, including Enterprise Intelligence, which extends its market intelligence solution to unlock insights from proprietary internal content

AlphaSense, the leading market intelligence and search platform, today announced two major upcoming platform updates, including the launch of AlphaSense Assistant, a generative AI chat experience that transforms how users can intuitively extract insights from millions of business and financial documents. Second, as generative AI continues to transform workplaces, AlphaSense is launching Enterprise Intelligence, a first-of-its-kind offering that delivers AlphaSense's AI-powered search, summarization, and chat capabilities securely atop customers' proprietary organizational knowledge and AlphaSense's extensive content universe.

"Today, more than 1,000 of our enterprise clients are securely searching across their internal content with AlphaSense—from deal data rooms to investment memos and other large troves of internal insights—and finding key data with great speed and reliability," said Jack Kokko, CEO and Founder of AlphaSense. "We couldn't be more excited to roll out the generative AI and chat capabilities of AlphaSense Assistant to clients - delivering on the vision of seamlessly finding internal and external insights from thousands of sources all in one place, with powerful search and AI technology on top."

AlphaSense Assistant represents the next phase of AI in market intelligence. Powered by AlphaSense's own purpose-built Large Language Model (ASLLM), Assistant is a conversational chat interface on top of AlphaSense's industry-leading content library, dramatically speeding up the research process for business and financial professionals. For example, a user could ask Assistant about a new investment idea in the medtech space or discuss the strengths and weaknesses of a manufacturing competitor - and receive accurate, instant answers with built-in auditability so users can easily check the original source for context and validation.

Enterprise Intelligence, layers AlphaSense's market-leading AI capabilities – including AlphaSense Assistant and Smart Summaries – seamlessly onto both the firm's own proprietary content and an extensive universe of public and private content. Enterprise Intelligence enables employees  to access a complete and unique view of their company's markets, industries, and competitors—with an option to deploy within their firm's private cloud.

For over a decade, AlphaSense has been transforming the research process for business and financial professionals with the latest innovations in AI and NLP technology and amassing training data while also building its vast collection of top-tier, trustworthy business content. This makes generative AI capabilities an especially powerful addition for AlphaSense's customer base, which include over 4,000 enterprise customers, the majority of the S&P 500 and nearly all of the world's largest banks, investment firms, and consultancies—and makes it easier for every employee at an organization to drive maximum business impact with innovative, safe, and accurate AI-powered market intelligence.

These platform announcements come on the heels of AlphaSense's $150 million Series E fundraise, led by BOND, at a $2.5 billion valuation announced just last week, and follow several other significant company milestones in 2023, including the release of Smart Summaries, the company's first generative AI toolset; a $100 million addition to the company's $225 million Series D financing round led by Alphabet's CapitalG and being named a top 50 AI company in 2023 by Forbes.

DIScover to provide valuable insights about the health, completeness and accuracy of first-party data for joint customers

AIdentified, a leading first-party data enrichment company, today announced the launch of its Data Insights Scan, a Snowflake Native App, on Snowflake Marketplace. DIScover is an app native to the Snowflake Data Cloud that will provide clients with aggregated insights regarding the completeness, accuracy and health of their first-party customer and prospect data.

Snowflake, the Data Cloud company, announced that the Snowflake Native App Framework (public preview on AWS) is now available for developers to build and test apps natively in the Data Cloud with additional distribution and monetization capabilities in public preview soon. Snowflake Native Apps usher in a new era of data collaboration, enabling developers with the tools needed to create robust apps quickly with Snowflake's high availability and auto-scalability, all the while reducing security and procurement hurdles for customers because the apps run directly within the customers' Snowflake accounts.

"We are thrilled to announce the launch of our DIScover application, a cutting-edge platform that empowers our clients with a comprehensive understanding of their first-party data," stated Ralph Schonenbach, Aidentified's Head of Product. "At Aidentified, we believe that both large and small companies benefit significantly from a deeper understanding of their clients and prospects, which can lead to improved decision-making and better business outcomes. With this Snowflake Native App, users can not only assess the completeness and accuracy of their first-party data, but also tap into over 150 additional attributes such as education, employer, household interests, and inferred income and household wealth, all of which provide valuable insights that drive growth."

To utilize the DIScover application, users simply install the Snowflake Native App from Snowflake Marketplace, log in to their Snowflake account, and either choose the table to analyze or upload a CSV file containing as little information as names and/or email addresses. Once the fields have been mapped, users can then run the report and access a range of valuable insights such as record match rate and the 150+ attributes that Aidentified can append to the user's data. Because the DIScover Snowflake Native App employs Aidentified's Cleanroom, all shared data remains private to the user. Depending on the size of the file, results will be available within five to 15 minutes.

"We're excited to partner with Aidentified on the launch of DIScover," said Chris Child, Senior Director of Product Management, Snowflake. "This innovative data scan is closely aligned with Snowflake's mission to mobilize the world's data and is a step forward in helping our joint customers make better decisions by leveraging the power of the Snowflake Data Cloud."

Snowflake Marketplace already has over 25 Snowflake Native Apps available today, and over one hundred providers are currently developing apps that span multiple industries and use cases. Aidentified is one of the leading organizations building in the Data Cloud, with a Snowflake Native App readily available to easily bring unique insights to end users and enabling them to unlock value with just a few clicks on Snowflake Marketplace. By being Powered by Snowflake, Aidentified is able to create new revenue streams by distributing its app to thousands of Snowflake customers, without these customers having to move or expose their data.

Outlier Partners: Sarah Sachs, former generative AI leader at Robinhood, and Archana Sankaranarayanan, former engineering leader at Google Assistant and Netflix, have joined Tome to lead its world-class machine learning and engineering team.

Tome — The AI-powered medium for shaping and sharing ideas, announced today the hire of two key machine learning leaders, Sachs, former head of natural language processing and generative AI at Robinhood, and Archana Sankaranarayanan, former engineering leader at Google and Netflix.

Sachs and Sankar will lead Tome's growing ML and engineering team, as the company accelerates building its AI-powered communication platform, trusted by more than 10 million users globally. The leaders join a world-class artificial intelligence team, which includes some of Silicon Valley's top machine learning engineers, including Ves Stoyanov. Stoyanov, Tome's head of AI, spent nearly a decade at Meta's AI research group, where he led teams to create industry-standard pre-training and large language model methods such as RoBERTa, XLM-R, and MultiRay.

Tome's AI-native medium enables anyone to take the seedling of an idea and develop it into a compelling, multimodal narrative through an intelligent, prompt-powered canvas. Tome is used by millions of professionals at work, such as go-to-market teams and founders, as the faster way to build and iterate on pitches, client and company updates, one-pagers, and more. Freelancers, creatives, government leaders, students, and educators have also embraced Tome as a new way to share ideas.

Its intuitive, innovative medium has captured the enthusiasm of millions of Gen Z users around the world and a new generation of AI-fluent users who are rapidly adopting new, digital-social-native productivity applications. The company's latest hires will further drive the innovative machine learning and engineering that is making Tome's platform increasingly refined and personalized.

Sachs, who will lead Tome's machine learning and infrastructure groups, previously led natural language processing and generative AI at Robinhood, where she built bespoke machine learning solutions to support customer communications at scale. Prior to Robinhood, Sachs served as the first machine learning hire at Marissa Mayer's Sunshine. Earlier, she worked on personalization and local search at Google. Sachs earned a bachelor's degree in applied mathematics and computer science at Brown University, where she researched computer vision.

At Tome, Sachs will oversee machine learning and infrastructure, including its cutting-edge model-training and systems for powering seamless, high-quality AI experiences for millions of professionals. Sachs will help make Tome increasingly tailored for teams and enterprises by optimizing its data layer, understanding user intent, and integrating with companies' tech stacks for deeper personalization.

Sankar will oversee Tome's product engineering organization, focused on building core generative capabilities and natively integrating content from a rich set of connected apps. Her team will explore ways to use AI for interactively translating users' intent, ideas, and content into highly structured and polished narratives.

Before Tome, Sankar led engineering teams at Google, Netflix, and OpenSea. At Google, Sankar and her team were pivotal in shaping a core aspect of human-bot interactions, defining the tone, character, and personality of the AI-powered Google Assistant, now known as Bard. Partnering closely with Google Brain, her team explored cutting-edge ways AI could enhance the presentation layer for end users. She holds a master's degree in computer science and human computer interaction from Carnegie Mellon University.

Sachs and Sankar join while Tome has rapidly honed its AI-powered co-creation capabilities, making its flagship, multimodal narrative creation experience more iterative and practical for everyday work. The company also introduced its own fine-tuned models to power user experiences in October, starting with multimodal page generation, to increase the quality and speed of co-creation.

Tome, which continues to set growth records as one of the fastest-growing companies to 10 million users, has scaled its engineering, product, and design functions to support its platform growth. The 70-person company, headquartered in San Francisco, has been recognized by Fast Company's Innovation by Design Awards in the General Excellence and Enterprise categories and was also named one of the top startups on the rise by LinkedIn.

Chief executive officer Keith Peiris and chief product officer Henri Liriani co-founded Tome in 2020. The former Meta product leaders incubated the company with Reid Hoffman, a Tome board member. The company has raised $81 million in funding to date from firms such as Lightspeed Venture Partners, Coatue, and Greylock.

Truecaller, the leading global platform for verifying contacts and blocking unwanted communications, has acquired the India-based company Unoideo Technologies Pvt Ltd. The company provides the service TrustCheckr that through a SaaS platform helps businesses verify customer information and detect risk of fraud based on phone numbers and digital signals. TrustCheckrs current offering has attracted interest from companies in different industries with the most noticeable interest coming from banks, fintech, and other financial institutions. The acquisition will strengthen Truecaller's risk intelligence tool for enterprises, which was launched last week, and with improved tech it will speed up the roll-out of that offering.

"Truecaller is the number one solution for identifying spam as well as fraud attempts globally. While our main focus has been on CallerID and spam protection, fraud calls and messages are increasing at an unprecedented rate globally by virtue of e.g. mobile banking. Fraudsters operate in a different manner than spammers so investing in elevating our fraud detection capabilities is a natural evolution for us. The acquisition will add a great service and competence to Truecaller that we believe will both bring value to our users and strengthen our current enterprise offering and the newly launched Risk Intelligence-services where we support enterprises to minimize risk and fraud. The combination of the skills that TrustChekr has in identifying fraudsters through external signals of fraud with Truecaller's internal signals will be really powerful," says Nami Zarringhalam, co-founder, Chairman and Chief Strategy Officer at Truecaller.

In 2022 TrustCheckr won the Reserve Bank of India's (RBI's) first global Hackathon -'HARBINGER 2021 - Innovation for Transformation' in the category of 'Social Media Analysis Monitoring tool for detection of digital payment fraud and disruption'. TrustChekr bring existing customers like IIFL Finance Limited and Piramal Capital and Housing Finance Limited plus several relationships with other potential customers for Truecaller for Business. The acquisition adds seven full-time employees and improved tech-capabilities to Truecaller.

The acquisition has been finalized during the fourth quarter of 2023 and is financed through existing cash. It will have a minor cash flow effect and is not expected to have a material impact on the financial results in 2023.