- LTTS to use Google Cloud’s generative AI technology and tools to create its comprehensive API Hub

L&T Technology Services, a leading global digital engineering and R&D services company, today announced an innovative collaboration with Google Cloud to harness the power of its generative AI (gen AI) technology and tools for the development of its LTTS Developer Experience Platform, known as DevX. LTTS DevX is a groundbreaking platform for engineering services, serving as a comprehensive, unified destination for API-enabled solutions across major industries, from LTTS and its ecosystem partners.

The collaboration underscores LTTS’ commitment in achieving transformative AI-driven objectives in collaboration with Google Cloud. It will facilitate the creation of an expansive API catalogue and experience, redefining how customers interact with LTTS’ digital offerings. Both organizations will work in tandem to shape LTTS’ DevX framework, and seamlessly integrate Google Cloud's gen AI components into the overall architecture.

LTTS has multiple objectives for the alliance. Firstly, it aims to expand the mindshare among developers globally, positioning DevX as a go-to platform for engineering solutions. Secondly, it seeks to enhance consumption by streamlining the discovery and implementation of LTTS’ solutions and services for end-users, ultimately resulting in higher customer satisfaction. The collaboration also aims to deepen developer engagement with content by creating a “developer playground” experience and extending it with API discovery and accelerators.

The rollout will unfold in two distinct phases: In the initial phase, LTTS will combine its expertise with Google Cloud for the development of DevX, focusing on select use-cases, including automating the process of generating test cases from requirement documents thus streamlining the development workflow; expediting the unit test case generation process by integrating gen AI into the development code; and automating code generation, thereby significantly reducing manual efforts and boosting development efficiency.

Building on the success of this phase, LTTS and Google Cloud will take the next leap by creating a custom gen AI platform seamlessly integrated into the overarching LTTS DevX ecosystem. This advanced platform will empower developers with even more sophisticated AI-driven capabilities.

LTTS has a track record of breakthroughs in AI, with popular AI solutions like Chest-rAi™ and AiKno^®, for the medical, industrial and transportation sectors, positioning it as a partner of choice for AI-enabled digital transformation initiatives. Cognitive Meta Data extraction modules from its AiKno^® platform automates the tedious task of digitalizing physical data, thereby greatly improving efficiencies and significantly reducing the time taken for manual digitalization. The LTTS API Hub, developed using Google Cloud’s offerings, including Vertex AI, will help enhance operational efficiencies and capabilities for end customers worldwide. Vertex AI combines data engineering, data science, and ML engineering workflows, enabling global engineering teams to collaborate using a common toolset and scale myriad applications using the benefits of Google Cloud.

The collaboration aims to address complex challenges, such as generating test cases from unstructured data sources.

“We are excited to join forces with Google Cloud to unlock new dimensions of AI-led innovation,” stated Abhishek Sinha, Chief Operating Officer and Member of the Board at L&T Technology Services. “This partnership not only propels us closer to our gen AI goals but also cements our commitment to revolutionizing engineering and digital solutions for the benefit of multiple industries. As LTTS and Google Cloud embark on this transformative journey, the engineering landscape stands on the cusp of a new era. With the power of AI-driven innovation at the forefront, the future promises unparalleled possibilities for industries worldwide.”

“Google Cloud is committed to providing the industry’s most open cloud and helping customers accelerate their digital transformations,” said Chandra Sankholkar, Director of Partnerships, Google Cloud. “Through this new partnership, L&T Technology Services will use Google Cloud’s infrastructure to power new capabilities that can improve operations and create real-world value for businesses.”

Brillio, a leading digital transformation services and solutions provider, today announced that it is collaborating with Microsoft to co-develop cutting-edge industry and horizontal solutions using the power of Microsoft Azure OpenAI Service.  

Combining Brillio's extensive industry and digital expertise with Microsoft's AI and analytics platforms, these intelligent solutions ─ to be offered via the Microsoft Azure Marketplace ─ will enable organizations across various industries, including healthcare, life sciences, retail, consumer packaged goods, banking, financial services, and insurance, to transform business models, accelerate innovation, and unlock new growth opportunities.

This announcement expands the close relationship between the two companies dating back to Brillio's inception in 2014. Since then, the two companies have collaborated extensively on developing cutting-edge enterprise products and solutions to help Fortune 1000 enterprises become digital-first businesses.

As part of the collaboration, Brillio will integrate Azure OpenAI Service with its own suite of pre-built AI industry solutions and intellectual properties to offer a wide range of generative AI solutions spanning assessment and advisory services, governance, risk and compliance assessment, and many other areas. Brillio has already commenced work on solutions to accelerate and optimize claims processing, intelligent search, investment strategies, financial modeling, and so on.

"Our 360-degree collaboration with Microsoft reflects our ongoing commitment to innovation and client value creation," said Raj Mamodia, Chief Executive Officer of Brillio. "It positions Brillio as the go-to partner for clients seeking to infuse the power of AI into their businesses. With our specialized digital capabilities and focus, we aim to lead the way in delivering generative AI-driven transformations at scale. By deeply using Microsoft's AI capabilities, we look forward to creating cutting-edge solutions that personalize experiences, optimize operations, and create new possibilities. Together, we will use AI to pave the way for a more intelligent and efficient world."

"Brillio is focused on developing industry-specific and horizontal solutions to harness the full potential of Microsoft Azure OpenAI Service," said Jim Lee, Vice President, Americas Global Partner Solutions at Microsoft. "We look forward to continuing our collaboration with Brillio as they deliver the full value of GenAI and uphold our shared commitment to customer success."

As a Microsoft Managed Solution Partner (MSP), Brillio has gained recognition as an early adopter and leader in advanced data analytics, responsible AI frameworks, and large language models (LLMs). A case in point is Brillio's proprietary virtual assistant, an LLM-powered chatbot that enhances customer experiences and streamlines customer support services across industries, utilizing its capabilities for summarization, Q&A, and rapid information retrieval. Additionally, Brillio's AI-enabled business intelligence (BI) solution harnesses generative AI's language processing capabilities, offering instant access to real-time business insights through natural language queries.

Elevating Point-of-Sale Marketing: Tokinomo's Visibubble Merges Innovation and Interaction to Transform Retail POSM Displays for in-store Brand Activations

Tokinomo, a leading startup in interactive shelf activations, proudly introduces Visibubble — a cost-effective point-of-sale marketing (POSM) solution. The new in-store advertising solution brings Mobile Messaging to the shelf, increasing shopper engagement. Products and brands can now communicate via text messages with the shoppers directly on their phones.

Visibubble's Transformative Features:

• Dynamic Customization: Display branding with adaptable messages and colors. With magnetic covers, changing the messages is a breeze — catering to diverse campaigns and products.
• QR Code Interaction: Pilot implementations revealed that with Visibubble, the QR codes were scanned 17 times more than in the case of a static QR code. When the Shoppers scan the QR code, they enter a dedicated landing page for the campaign, where the brand starts a conversation with the shoppers, enhancing the brand-customer connection at the purchase point.
• Shopper Detection Sensor: Activating on shopper proximity ensures advertisements are more interactive and eye-catching, reaching the customers as they shop.
• Engaging Notification Sounds: Crafted to captivate, these sounds mirror mobile app notifications, amplifying product prominence.
• Battery-Powered Versatility: Unrestricted by cords, Visibubble can grace any store location, with unparalleled flexibility in any environment.

Ionut Vlad, Tokinomo’s CEO, shared his enthusiasm, "Visibubble isn't just a product; it's a vision of reimagined in-store marketing. It symbolizes Tokinomo's commitment to cutting-edge, cost-effective solutions that genuinely resonate with shoppers. As we venture into this new chapter, we're eager to witness the transformative effects Visibubble will usher in for our partners and their customers."

Empowers security analysts and AI to work side by side more effectively with modernized foundation and redesigned UX

IBM today announced a major evolution of its flagship IBM QRadar SIEM product: redesigned on a new cloud-native architecture, built specifically for hybrid cloud scale, speed and flexibility. IBM also unveiled plans for delivering generative AI capabilities within its threat detection and response portfolio – leveraging watsonx, the company's enterprise-ready data and AI platform.

Today's hybrid cloud environments are evolving and scaling at an exponential rate, creating a larger and more complex attack surface to protect. This growing IT footprint makes it harder to quickly find the true threats amongst the noise – slowed down by siloed technologies, manual searches and an overload of alerts, without clear context or visualizations. In fact, SOC professionals get to less than half (49%) of the alerts that they're supposed to review within a typical workday, according to a recent global survey.¹

The new cloud-native QRadar SIEM is built to maximize the power of today's security teams. It is designed to augment and up-level security analysts daily work – tapping AI to manage time-consuming and repetitive tasks while empowering security analysts to find and respond to high priority security incidents more effectively.

"Our new cloud native SIEM is a core element of IBM's mission to usher in the next generation of security operations, built for the hybrid cloud and AI era," said Kevin Skapinetz, Vice President, Strategy and Product Management, IBM Security. "Instead of forcing analysts to work around the complexity of security technologies, we're designing technology to remove the complexity – weeding out the noise, simplifying the user experience, and empowering analysts to tackle urgent threats with greater speed and confidence."

IBM's cloud-native SIEM builds on QRadar's 13 years market leadership and analyst recognition² for deep security analytics – with a redesigned architecture for highly efficient data ingestion, rapid search and analytics at scale. Built on an open foundation, it is the newest addition to QRadar Suite, IBM's integrated portfolio of threat detection and response software.

The new cloud-native QRadar SIEM will be generally available as SaaS in Q4 2023, with plans to offer software for on-premises and multi-cloud deployment in 2024.

Open at its Core
Built on Red Hat OpenShift, QRadar SIEM is designed to be open at a foundational level – allowing for deeper interoperability with multi-vendor tools and clouds. It leverages open source and open standards for core functions including detection rules and search language – allowing it to work across companies' broader security and technology stacks. 

• Harness Security Community Detections: Leverages common, shared language for detection rules (SIGMA) – allowing clients to quickly import new, crowdsourced detections directly from the security community as threats evolve.
• Investigate Across Data Sources: Offers unique federated search and threat hunting capabilities built on open-source technologies, allowing analysts to proactively search for and investigate threats across cloud and on-premise data sources in a single, unified way – without moving data from its original source.
• Deep Partner Network: Builds on the QRadar ecosystem, one of the largest partner networks in the industry with more than 700 pre-built integrations.

Full Suite for Connected, Proactive Security Response
As part of QRadar Suite, the new cloud-native SIEM offers customers access to a wide set of integrated capabilities which can allow for more proactive detection, investigation and response across toolsets. With QRadar Suite, organizations can gain visibility into their exposed assets via attack surface management (ASM) capabilities, search for threats across toolsets, protect at the endpoint with EDR, and connect to automated playbooks to speed response (SOAR). QRadar SIEM empowers users with shared insights and automated actions across their core toolsets – accessed directly from their primary user interface, without needing to shift between tools.

Enterprise-Grade AI Speeds Response to Critical Threats
QRadar SIEM applies multiple layers of AI and automation to improve the quality of alerts and the efficiency of security analysts. These mature AI capabilities have been pre-trained on millions of alerts from IBM's vast network of clients and are refined further post-deployment to account for each client's unique environment. For example:

• Reduce Noise and Improve Alerts: Alert prioritization capabilities use AI to automatically de-prioritize low priority alerts, while automatically grouping, contextualizing and escalating high priority alerts – factoring in risk context from ongoing threat intelligence and analyst response patterns. This capability allowed IBM Consulting Cybersecurity Services to automate 85% of alert management for clients,³ and to accelerate their threat triage timelines by 55% in the first year of use.⁴
• Jump-Start Investigations: AI capability automatically runs federated searches across connected systems, generating a visual attack timeline, MITRE ATT&CK mappings, and recommended actions – giving analysts a significant head-start on investigation tasks.
• Automatically Update Detections: QRadar SIEM's analytics are automatically updated with new detection rules and threat intelligence on an ongoing basis, to keep pace with evolving threats.

IBM's AI security capabilities are embedded natively into the QRadar Suite analyst interface, bringing contextual insights to analysts' fingertips and helping them take advantage of AI more intuitively within their regular workflows. 

Generative AI to Advance SOC Productivity
IBM also plans to release generative AI (GAI) security capabilities for QRadar Suite in early 2024 – built on watsonx, the company's AI and data platform. IBM is designing GAI to help optimize security teams' time and talent by managing certain tedious tasks on behalf of analysts, while also making it easier for them to perform more challenging, higher value work. For example:

• Automate Reporting: Create simple summaries of security cases and incidents that can be shared with a variety of stakeholders in a single click.
• Accelerate Threat Hunting: Automatically generate searches to detect threats based on natural language descriptions of attack behaviour and patterns – helping to accelerate response to new threat campaigns.
• Interpret Machine-Generated Data: Helping analysts to quickly understand security log data by providing simple explanations of events that have taken place on a system – lowering technical barriers and expediting their investigations.
• Curate Threat Intelligence: Interpret and summarize highly relevant threat intelligence, honing in on campaigns that are more likely to affect clients based on their unique risk profile.

IBM is also developing predictive generative AI security capabilities which will be trained to create active responses that optimize over time – for instance, helping security team find similar incidents, update affected systems and patch vulnerable code.

Beyond these use-cases, IBM plans to embed generative AI across its broader security software and services portfolio. These capabilities will leverage watsonx infrastructure as well as watsonx AI models, which have been trained on curated, domain-specific datasets – designed to offer greater trust, transparency and accuracy.

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.