Preparing organizations for the next trust frontier through knowledge and cutting-edge AI Governance solutions

IAPP AI Governance Global 2023 -- OneTrust, the market-defining leader for trust intelligence, today announced it has joined the International Association of Privacy Professionals (IAPP) artificial intelligence (AI) Governance Center as a foundational supporter. The IAPP's AI Governance Center (AIGC) helps address the industry's need for qualified, well-trained professionals to ensure AI systems are developed, integrated, and deployed in line with emerging AI laws and policies. As a foundational supporter of the AI Governance Center, OneTrust extends its commitment to ethical and safe AI deployment, providing its world-class products and services focused on governing AI responsibly.

"Becoming an AI Governance Center foundational supporter is a pivotal moment for OneTrust, as it echoes the core values that define our products and services," said Kabir Barday, Founder and CEO of OneTrust. "We both share a strong commitment toward helping organizations innovate using AI responsibly. Our dedication to this partnership highlights our shared values and the common goal of the AI Governance Center's principles."

Building on the success of helping more than 14,000 global companies go beyond compliance to build trust, OneTrust recently introduced AI Governance, a comprehensive solution designed to help organizations inventory, assess, and monitor the wide range of risks associated with AI. As organizations use AI and machine learning (ML) to process large amounts of data and drive innovation, AI Governance provides visibility and control over data used and risks generated by AI models.

Here's why companies like BHG Financial and Vodafone choose OneTrust:

• AI risk tracking: Be it AI developed in-house or sourced externally from third parties, gain full visibility into associated risks, thereby empowering your teams to make informed decisions.
• Comprehensive AI governance: Ensure that all AI projects align with organizational values and ethical standards through a unified governance program.
• Central AI inventory: With a single dashboard, effortlessly access reports such as model cards and risk levels, making it simpler than ever to manage your AI portfolio.
• Ready-to-use templates: Built by OneTrust Centers of Excellence, leverage pre-made templates to assess and comply with emerging AI laws and frameworks, including the NIST AI Risk Management Framework, the draft EU AI Act, OECD AI Systems Assessment, UK ICO, and ALTAI.
• MLOps integrations: OneTrust AI Governance integrates seamlessly with top MLOps solutions like Google Vertex, MLflow, Azure ML, and AWS SageMaker so teams can better manage and govern the AI development lifecycle from ideation and experimentation to production and deprecation.
• Extensive support: Built on top of the Trust Intelligence Platform, the solution is fully compatible with other OneTrust Privacy Management solutions, offering a holistic approach to privacy and third-party risk management.

Embodying AI governance principles

The AI Governance Body of Knowledge establishes a framework that experts agree should guide responsible AI governance and risk management. These principles are reinforced through OneTrust Centers of Excellence and the Trust Intelligence Platform.

The OneTrust Centers of Excellence stand at the forefront of the organization's operations, playing a pivotal role in shaping the future of trust. Each Center of Excellence assembles a cross-functional team of individuals who serve as experts in their respective fields. These experts provide strategic guidance, share best practices, and offer thought leadership. Their collective expertise establishes the framework for supporting thousands of global customers and the broader community.

With Jeli, the PagerDuty Operations Cloud improves enterprise resilience, reduces the impact and risk of operational failure, and lessens the need for costly point solutions

PagerDuty, Inc., a global leader in digital operations management, today announced it has signed a definitive agreement to acquire Jeli, Inc. to transform operations with an enterprise-grade, all-in-one incident management solution. The addition of Jeli’s capabilities to the PagerDuty Operations Cloud will further strengthen its value as a system of action, going beyond response to drive long-lasting improvements in operational maturity. The PagerDuty Operations Cloud combines Incident Management, AIOps, Automation and Customer Service Operations in a flexible, easy-to-use platform designed for mission-critical, time-sensitive, high-impact work across IT, DevOps, security and business teams.

Jeli is a natural extension of the PagerDuty Operations Cloud, completing the lifecycle of incident management with deep, actionable analysis, enriched learning and proactive improvement. The combined offering will help customers turn every incident into an opportunity by applying learnings to reduce the impact of future incidents. CIOs will be able to learn more quickly from their incidents and shift their organizations from a chaotic, reactive stance towards a more proactive, methodical approach, allowing them to operate more efficiently.

Jeli’s enterprise-grade user experience is already integrated with PagerDuty, enabling customers to effectively collaborate during and after an incident, identify improvement opportunities, and action insights to drive change. Jeli surfaces patterns from incidents, prioritizing opportunities for improvement in escalations, resource allocation and project planning.

“Every company’s customers are digitally fluent, yet most company’s operations are analog, manual and command and control. This chasm gets wider as technical complexity grows, making operational resilience and delightful customer experiences harder to deliver,” said Jennifer Tejada, Chairperson and CEO, PagerDuty. “With Jeli, our combined offering will empower executives to make faster, more effective operational decisions to speed and expand innovation while minimizing the costs and risk of operational failure. With Jeli, PagerDuty becomes a cloud-first, automated Incident Management solution that scales securely and reliably for large enterprises. We are thrilled to welcome Nora Jones and the Jeli team to PagerDuty.”

“We created Jeli to turn every incident into a learning opportunity,” said Nora Jones, CEO and Founder of Jeli. “Jeli technology incorporates the human element and spearheads a more positive culture of learning from incidents through its incident analysis and incident response technology. Together, Jeli and PagerDuty will play an indispensable role in bringing data, not just focused on how the technology is working, but how the humans within the organization are working and focusing on a culture of continuous learning from incidents to help the business grow.”

Current COO Stephanie Carullo to retire after growing Box to greater than $1 billion in annual revenue

Box, Inc., the leading Content Cloud, today announced the appointment of Olivia Nottebohm as Chief Operating Officer (COO). Nottebohm will lead the global go-to-market organization at Box, including Sales, Customer Success, and Marketing. She succeeds retiring COO, Stephanie Carullo, who joined Box as COO in 2017 and helped double the company’s annual revenue to greater than $1 billion during her tenure.

“Olivia will be a fantastic addition to our leadership team as we shift to the next phase of profitable growth at Box,” said Aaron Levie, co-founder and CEO of Box. “Olivia is a proven leader who has driven outstanding execution in her career and I’m excited to work with her as we deliver new products and plans, expand our partner and system integrator network, go deeper in key vertical markets, and continue our global expansion. I also want to thank Stephanie for her tremendous leadership and partnership. She has been instrumental in growing Box to a billion-dollar revenue company and in laying the foundation for us to scale to the next billion and beyond. We wish Stephanie well as she embarks on a new chapter.”

“Now is a truly exciting time to join Box,” said Olivia Nottebohm. “The Box vision of powering an intelligent, secure Content Cloud that simplifies and transforms work for every type of organization -- from small businesses to massive global enterprises -- is incredibly compelling. We have a unique opportunity to shape the future of work that the advent of technologies like AI will only accelerate. I can’t wait to get started.”

“I’m so proud of the growth and achievements we’ve driven at Box over the past six years. Box is a special organization and a community filled with exceptional people. I’m grateful to have worked with all of them,” said Stephanie Carullo. “I’m also thrilled to have Olivia joining Box and to work with her in the coming months on a productive transition. Olivia is a great leader and strategic thinker, perfectly cast to lead the next wave of growth for Box.”

Talkwalker is delighted to announce the Next Generation of Social Listening. Our market-leading consumer intelligence company is revolutionizing the industry by introducing a definitive solution that streamlines the process of social listening and significantly reduces analyst time.

We are proud to introduce a range of new features that ensure social data is accessible and actionable for all, without compromising accuracy or relevance. Leveraging our in-house LLM's and Generative AI, Talkwalker is at the forefront of data democratization within organizations and empowering real-time decision-making.

"Imagine having your very own AI-driven analyst for real-time social and consumer insights. That's precisely what our groundbreaking product innovations deliver," says Christophe Folschette, Partner, and Founder of Talkwalker. "We're not just changing the game; we're reinventing it."

With the integration of Blue Silk™ GPT - our Generative AI capabilities - Talkwalker makes it even easier to access and utilize social data. No longer reliant on Booleans, dashboards, or analysts, our Yeti - Data Insights provides quick summaries of brand activities, highlighting consumer pain points, potential crises, and more.

Furthermore, AI-Summaries have been included in reports, alerts, and across the platform, providing users with easily understandable insights and action points. By summarizing vast amounts of posts and messages, our users can quickly identify the most important ideas, saving valuable time and avoiding alert fatigue.

This is the fastest, most accessible social listening product on the market. With a clearly defined roadmap of future innovations to make it truly next-generation.

Qwary is excited to announce the release of four incredible new features: In-Product Surveys, Prototype Testing, Session Recording, and Heatmaps. These game-changing additions are designed to elevate your customer's experiences, eliminate bugs, and improve your product by gaining direct insights from your customers.

 In-Product Surveys: Real-Time Customer Feedback

In-product surveys are a seamless and effortless way for customers to share their feedback. Get real-time insights on satisfaction, feature usability, and pain points directly within the product interface. Instead of implementing user-targeting survey tools via text or email, integrate survey tools directly into your customer's user experiences.

These surveys are easily embedded into your app or software, allowing you to collect feedback as users interact with your product. Customers won't need to navigate away from the product to provide feedback. You will experience higher completion rates as customers are more likely to complete a survey while using a product rather than return to a survey days after.

By leveraging in-product testing, you tailor your product development to your customers' needs. Integrated surveys provide more accurate data as users will be your target audience. The feedback will be specific to your business goals, elevating your SaaS offerings to new heights. More than improving your product, feedback from these surveys can let you know what your customers prioritize and which features are important to them. They may also uncover bugs or issues early in the product's launch that your product teams missed! This can help you deliver more reliable products in the future.

Prototype Testing: Maximize Product Success

Combine in-product surveys with prototype testing to improve your product early on its development cycle. You'll get valuable feedback in the early stages so you can deliver products that not only align with your customer's needs but ensure their satisfaction and loyalty.

Prototype testing is a collaborative way to bring your products to market. By listening to your target audience early on, your product teams can eliminate features that don't resonate with customers. Getting input from your customers can be a great way to refine your products, too. Your teams also have the opportunity to see your products tested in real-world scenarios. This can help point out areas that need improvement. Carry out your prototype testing across a variety of devices as well so that customers get a seamless experience, whether it's on a desktop computer, a tablet, or a mobile phone.

It's a game-changer for businesses for various reasons. You can minimize your development costs by identifying bugs early on and boosting customer satisfaction by providing a product that meets your target audience's needs. And by integrating feedback, you'll deliver a high-quality product.

Session Recording: Illuminate the Customer Journey

Get more in-depth visibility into your customer's interactions and behaviors when they use your product. Session recording lets you record and playback your customer's interactions as they use your software or apps. This can offer a wealth of information when your product teams make improvements or decisions on your company's products.

One of the key advantages of recording sessions is seeing how customers interact with your products. The survey tool offers a comprehensive view of how your target audience behaves: what buttons they push, what features they ignore, and their preferences.

Session recording lets you categorize your customers into user groups to refine your product further. Playbacks also allow you to hone in on any errors or usability issues customers face. You can replay recorded sessions to address the problem areas and implement immediate solutions.

These sessions provide opportunities to experiment with A/B testing as well. By having session recordings of a control group and a test group, this SaaS tool can help you optimize your products like never before.

In the event of a security breach, these recordings can help with investigations and audits. They can also serve as an accurate historical record.

Heatmaps: Refine Your Product

Like session recordings, heatmaps offer visual roadmaps of how customers interact with your products. These visual surveys are unique because you can see what customers overlook and what they gravitate toward while using your product. This visual data can then be used when making decisions to add or eliminate features, for example.

Heatmaps also provide opportunities to experiment with new features and updates. You can visually see what customers click on, how they scroll, and what buttons they ignore. Need to identify where your "hotspots" are? Using a SaaS survey tool like Heatmaps gives you direct insight. Conversely, you'll also get to see where your "coldspots" are and what features you could quickly eliminate.

To further refine your products, use heatmaps for "click tracking." What are your users clicking on most, and why? You can glean essential behavior patterns, too. Do users read all the text, or are they skipping sections? What sections are they skipping? These patterns are important to identify as your team can then efficiently optimize products based on the behavior patterns of your test audience. These kinds of visual guides allow you to leverage customer feedback to drive organic, product-led growth.

Heatmaps are also an ideal tool to test various devices and screen sizes. Some users may have a better experience on a laptop as opposed to a mobile device, for instance. This data can help your team make strategic decisions when improving mobile experiences, thus creating exceptional product experiences that your customers will love.

Edgeworx, an edge computing company and Google Cloud Partner, is pleased to release Edgeworx Cloud, an enterprise-focused edge native platform on the Google Cloud Marketplace. Co-founded by Kilton Hopkins, an edge computing and computer vision AI veteran, Edgeworx has set the bar for scalable edge architecture, with simplicity and security.

Edgeworx Cloud provides an enterprise-grade foundational edge platform without customer-managed Kubernetes clusters, complicated networking, or custom infrastructure. A secured and decoupled data plane carries all data from device-to-device, microservice-to-microservice, and host-to-client over on-demand private internets obfuscating traffic to everyone, including Edgeworx. The lightweight and hardware agnostic agent unifies heterogeneous fleets, which otherwise require specialized and disjointed effort to maintain. Edge deployments and devices can be rolled out and directly managed from any network, no VPN or tunneling required, minimizing effort for developers to remotely orchestrate nodes.

Companies require remote orchestration, localized processing, and more efficient data upstreaming, yet they frequently invest years of time and capital to achieve these goals. Edgeworx Cloud solves that problem. Edgeworx Cloud streamlines operations and cuts costs, allowing businesses to focus on innovation and growth without being burdened with edge computing architecting and implementation. ROI is no longer DOA by having to pay for R&D, maintenance, or extended employee training on atypical architectures.

"Edgeworx made our edge node configuration and management easy and allowed us to focus our efforts on developing the software necessary to run our lab operations, rather than just focusing on managing our edge nodes!" - Erin Lewis, Senior Software Engineer, Robotics Integrations, Strateos

Unlike other cloud products, Edgeworx Cloud keeps data away from itself and lets users truly own and delegate where their information belongs, whether it is on-site, in Google Cloud, or any other major cloud provider.

Bloomberg Enterprise Data content and Data License Plus are now integrated with BigQuery, enabling customers to easily bring comprehensive datasets to their analytics workloads

Bloomberg today announced a new offering that enables customers of Google Cloud to accelerate their data strategies through the integration of Bloomberg's cloud-based data management solution, Data License Plus (DL+), with BigQuery, Google Cloud's fully managed, serverless data warehouse.

With access to Bloomberg's extensive experience managing, modeling, and delivering vast quantities of complex content, mutual customers can now receive their Bloomberg Data License (DL) data fully modeled and combined directly in BigQuery. This allows organizations to use Google Cloud's advanced analytics capabilities to quickly and efficiently extract more value from critical business information with minimal data wrangling.

"As capital markets firms continue their journeys to migrate workloads to the Cloud, our customers need to access high quality data efficiently and in the environment of their choice," said Don Huff, Global Head of Client Services and Operations at Bloomberg Data Management Services at Bloomberg at Bloomberg. "We're excited to expand our collaboration with Google Cloud, remaining at the forefront of innovation in financial data management and further expanding our customers' enterprise analytics capabilities."

"Google Cloud and Bloomberg have a shared commitment to enabling customers making data-driven decisions to power their business," said Stephen Orban, VP of Migrations, ISVs, and Marketplace at Google Cloud. "Our expanded alliance will enable customers to seamlessly use Bloomberg's leading datasets alongside their own data within BigQuery, making it easy to perform analytics with intelligence about financial markets, regulations, ESG, and other business-critical information."

Through this expanded collaboration, customers can utilize the leading analytics capabilities of BigQuery and the expansive collection of datasets available via Bloomberg Data License to power their largest, most critical workloads. Bloomberg's Data License content includes reference, pricing, regulatory, ESG, fundamentals, estimates, and historical data for operational, quant and investment research workflows. It covers more than 70 million securities and 40,000 data fields.

Specific benefits include:

• Access to Bloomberg data directly in BigQuery: Bloomberg customers can now seamlessly access Bloomberg Data License content within BigQuery for scalable use throughout their enterprise, accelerating time-to-value from analytics projects by eliminating the time-consuming process of ingesting and structuring third-party datasets.
• Eliminated data barriers: Bloomberg and Google Cloud will make Bloomberg's DL+ solution available to mutual customers via BigQuery, allowing for the delivery of fully modeled Bloomberg data and multi-vendor ESG content that is accessible within their analytics workloads.

Bloomberg recently announced that Mackenzie Investments has selected DL+ ESG Manager to host the acquisition, management and publishing of multi-vendor ESG data, positioning the firm to implement ESG investing approaches more efficiently and develop more sophisticated ESG-focused insights and investment products. Mackenzie Investments will use BigQuery to power these analytics workloads moving forward.

46% of container organizations now run serverless containers, up from 31% two years ago

Datadog, Inc., the monitoring and security platform for cloud applications, today unveiled the findings of its fifth annual report, 10 Insights on Real-World Container Use. To understand the state of the container ecosystem, Datadog examined data from more than 2.4 billion containers run by tens of thousands of customers.

Datadog's report found that serverless containers continue to rise in popularity—46% of container organizations now run serverless containers, up from 31% two years ago—as teams look to improve developer productivity.

Other key findings from the report include:

• The adoption of Arm processor-based compute for containerized workloads has more than doubled over the past year.
• Sizing workloads remains a challenge for organizations as more than 65% of Kubernetes workloads are utilizing less than half of their requested CPU and memory.
• Usage of GPU-based compute on containerized workloads—which is used to efficiently train machine learnings and large language models (LLMs), perform inferences and process large datasets— has increased 58% year-over-year.

"We are continuing to see organizations move to serverless containers for the benefits of improving productivity and agility while reducing operational overhead and cloud costs," said Yrieix Garnier, VP of Product at Datadog. "With the serverless approach, organizations don't have to provision or manage the infrastructure needed to run, maintain and scale the containers. This strategy also comes with cost benefits as cloud providers manage the serverless containers and therefore can optimize resource utilization and cloud spend."