Middleware Consulting International

ARMONK, N.Y. and ORLANDO, Fla., May 10, 2023 /PRNewswire/ — IBM today announced at its annual Think conference in Orlando, Florida, new IBM Quantum Safe technology: a comprehensive set of tools and capabilities, combined with IBM’s deep security expertise, designed as an end-to-end solution to be made available as organizations, including governmental agencies, prepare their quantum-safe journey towards the post-quantum era.

Quantum technology is rapidly advancing. Quantum systems are on a path to solve previously unsolved problems beneficial to business and science, but this progress also poses security risks. As quantum computers continue to advance, they will reach the ability to break the most widely used security protocols in the world.

Recognizing this risk, IBM has leveraged its extensive expertise across cryptography, quantum computing, and critical infrastructure to develop IBM Quantum Safe technology.

This set of capabilities is designed to help clients prepare for the post-quantum era via:

• IBM Quantum Safe Explorer to enable organizations to scan source and object code to locate cryptographic assets, dependencies, vulnerabilities and to build a Cryptography Bill of Materials (CBOM). This allows teams to view and aggregate potential risks into one central location.
• IBM Quantum Safe Advisor allows the creation of a dynamic or operational view of cryptographic inventory to guide remediation and analyzes cryptographic posture and compliance to prioritize risks.
• IBM Quantum Safe Remediator enables organizations to deploy and test best practice-based quantum-safe remediation patterns to understand the potential impacts on systems and assets as they prepare to deploy quantum-safe solutions.

IBM is also unveiling its IBM Quantum Safe Roadmap to help clients understand and support them through this security transition. This is IBM’s first blueprint that charts the technology milestones towards increasingly advanced quantum-safe technology, which is engineered to help organizations address anticipated cryptographic standards and requirements through crypto-agility and protect systems against emerging vulnerabilities.

This journey is comprised of three key actions:

1. Discover: Identify cryptography usage, analyze dependencies, and generate a CBOM.
2. Observe: Analyze cryptography posture of vulnerabilities and prioritize remediation based on risks.
3. Transform: Remediate and mitigate with crypto-agility and built-in automation.

“As a leader in quantum computing, IBM recognizes the importance of comprehensively addressing the critical needs of our clients as they also consider transforming their cryptography for the quantum era,” said Ray Harishankar, IBM Fellow and lead for IBM Quantum Safe technology. “Our new suite of quantum-safe technologies and milestones laid out on our roadmap is designed for the continuous evolution of post-quantum security in tandem with useful quantum computing, including solutions to help industries navigate this shift effectively and easily.”

Last year, the United States government released new requirements and guidelines calling upon federal agencies to start the quantum-safe transition. The National Institute of Standards and Technology (NIST) selected four quantum-resistant algorithms for standardization — three of which were developed by IBM, alongside academic and industry collaborators.

Then, the National Security Agency (NSA) announced new requirements for national security systems to transition to quantum-safe algorithms by 2025, and the White House released requirements for federal agencies to submit a cryptographic inventory of systems that could be vulnerable to cryptographically relevant quantum computers.

“As the era of quantum computing quickly approaches reality, it is imperative that quantum-safe technologies are also deployed to protect today’s classical systems and data,” said Patrick Moorhead, CEO and founder of Moor Insights & Strategy. “What the world needs to secure data for the quantum age is expertise in world-class quantum technology and advanced cryptography, alongside decades of product development experience for critical infrastructure. These pillars are where I believe IBM excels, and now with a quantum-safe roadmap to lead the industry and new technologies to simplify migration, I look forward to seeing the advancement of quantum-safe journeys globally.”

The IBM Quantum Safe Roadmap and technology will expose organizations to their existing cryptographic landscape so they can begin to address changes that may be necessary to thrive in the post-quantum era.

For more information about IBM Quantum Safe technology or to request a demo, visit: https://www.ibm.com/quantum/quantum-safe.

ARMONK, N.Y., May 9, 2023 /PRNewswire/ — Today, IBM (NYSE: IBM) at its annual Think conference, announced IBM watsonx, a new AI and data platform to be released that will enable enterprises to scale and accelerate the impact of the most advanced AI with trusted data. Enterprises turning to AI today need access to a full technology stack that enables them to train, tune and deploy AI models, including foundation models and machine learning capabilities, across their organization with trusted data, speed, and governance – all in one place and to run across any cloud environment.

Also at Think, IBM is announcing further planned advancements, including a GPU-as-a-service infrastructure offering designed to support AI-intensive workloads, an AI-powered dashboard to measure, track, manage, and help report on cloud carbon emissions, and a new practice for watsonx and generative AI from IBM Consulting that will support client deployment of AI.

With watsonx, IBM is offering an AI development studio with access to IBM-curated and trained foundation models and open-source models, access to a data store to enable the gathering and cleansing of training and tuning data, and a toolkit for governance of AI into the hands of businesses that will provide a seamless end-to-end AI workflow that will make AI easier to adapt and scale.

“With the development of foundation models, AI for business is more powerful than ever,” said Arvind Krishna, IBM Chairman and CEO. “Foundation models make deploying AI significantly more scalable, affordable, and efficient. We built IBM watsonx for the needs of enterprises, so that clients can be more than just users, they can become AI advantaged. With IBM watsonx, clients can quickly train and deploy custom AI capabilities across their entire business, all while retaining full control of their data.”

Clients will have access to the toolset, technology, infrastructure, and consulting expertise to build their own — or fine-tune and adapt available AI models — on their own data and deploy them at scale in a more trustworthy and open environment to drive business success. Competitive differentiation and unique business value will be able to be increasingly derived from how adaptable an AI model can be to an enterprise’s unique data and domain knowledge.

The IBM watsonx platform consists of three unique product sets to address these needs:

IBM watsonx.ai: A next generation enterprise studio, expected to be generally available in July 2023, for AI builders to train, test, tune, and deploy both traditional machine learning and new generative AI capabilities powered by foundation models through an open and intuitive user interface.

• The AI studio provides a range of foundation models, training and tuning tools, and cost-effective infrastructure that facilitate the entire data and AI lifecycle, from data preparation to model development, deployment, and monitoring.
• The studio also includes a foundation model library that gives users easy access to IBM curated and trained foundation models. The IBM foundation models use a large, curated set of enterprise data backed by a robust filtering and cleansing process and auditable data lineage. These models are being trained not just on language, but on a variety of modalities, including code, time-series data, tabular data, geospatial data, and IT events data. An initial set of foundation models will be made available in beta tech preview to select clients. Examples of model categories include:
  • fm.code: Models built to automatically generate code for developers through a natural-language interface to boost developer productivity and enable the automation of many IT tasks.
  • fm.NLP: A collection of large language models (LLMs) for specific or industry-specific domains that utilize curated data where bias can be mitigated more easily and can be quickly customized using client data.
  • fm.geospatial: Model built on climate and remote sensing data to help organizations understand and plan for changes in natural disaster patterns, biodiversity, land use, and other geophysical processes that could impact their businesses.
• As part of a new collaboration between IBM and Hugging Face, the watsonx.ai studio will build upon Hugging Face’s open-source libraries and offer thousands of Hugging Face open models and datasets. This is part of IBM’s commitment to delivering to clients an open ecosystem approach that allows them to leverage the best models and architecture for their unique business needs.

IBM watsonx.data: A fit-for-purpose data store built on open lakehouse architecture that is optimized for governed data and AI workloads, supported by querying, governance, and open data formats to access and share data. The solution is expected to be generally available in July 2023 and:

• The solution can manage workloads both on-premise and across multi-cloud environments.
• Through workload optimization, with this solution, an organization can reduce data warehouse costs by up to 50 percent.¹
• Watsonx.data will allow users to access their increasingly robust data through a single point of entry while applying multiple fit-for-purpose query engines to uncover valuable insights.
• It will also provide built-in governance tools, automation and integrations with an organization’s existing databases and tools to simplify set-up and user experience.

IBM watsonx.governance: An AI governance toolkit to enable trusted AI workflows. The solution, expected to be generally available later this year:

• Operationalizes governance to help mitigate the risk, time and cost associated with manual processes and provides the documentation necessary to drive transparent and explainable outcomes.
• Provides the mechanisms to protect customer privacy, proactively detect model bias and drift, and help organizations meet their ethics standards.

With the watsonx platform, clients are enabled to meet the needs of their organization in five key areas of their business: interacting and conversing with customers and employees; automating business workflows and internal processes; automating IT processes; protecting against threats; and tackling sustainability goals.

IBM also plans to infuse watsonx.ai foundation models throughout all its major software products going forward, for example:

• Watson Code Assistant: A solution, expected later this year, that taps generative AI to allow developers to generate code with a straightforward English language command.
• AIOps Insights: AI Operations (AIOps) capabilities enhanced with foundation models expected for code and NLP to provide greater visibility into performance across IT environments, helping IT operations (ITOps) managers and Site Reliability Engineers (SREs) resolve incidents in a more expedient and cost-efficient way.
• Watson Assistant and Watson Orchestrate: IBM’s digital labor products are expected to be combined with an NLP foundation model to enable enhanced employee productivity and customer service experiences.
• Environmental Intelligence Suite: IBM EIS Builder Edition is planned to be enabled by the geospatial foundation model and available in preview later this year, allowing organizations to create tailored solutions that address and mitigate environmental risks based on their unique goals and needs.

Also at Think 2023, IBM will announce a number of additional upcoming offerings that are planned to help drive AI adoption, including:

• New GPU offering on IBM Cloud: Addressing the global need for foundation models, IBM is announcing new GPU offerings on IBM Cloud, an AI-tailored infrastructure designed to support enterprise compute-intensive workloads. Later this year, IBM is expected to offer full stack high-performance, flexible, AI-optimized infrastructure, delivered as a service on IBM Cloud, for both training and serving foundation models.
• IBM Consulting Center of Excellence for Generative AI: IBM Consulting announces a Center of Excellence for generative AI with over 1,000 generative AI experts and plans to build a watsonx-focused practice which will actively build and deploy watsonx for clients. IBM Consulting has completed dozens of client engagements infusing generative AI with IBM Watson and a portfolio of ecosystem partners through its proven IBM Garage method.
• IBM Cloud Carbon Calculator: An AI-informed dashboard to enable clients to measure, track, manage and help report their carbon emissions associated with their hybrid multi-cloud journey. Based on technology from IBM Research, IBM Cloud Carbon Calculator is expected to be generally available later this year. The dashboard complements IBM’s existing sustainability solutions with a comprehensive portfolio of technology and expertise, including the IBM Envizi ESG Suite, IBM Turbonomic, IBM Planning Analytics and IBM LinuxONE, that help organizations accelerate their sustainability and business objectives.
• New study revealing generative AI is among seven trends shaping business: A new report from the IBM Institute for Business Value, titled Seven Bets, shares seven trends impacting business today and describes the seven bets worth making to enhance their business, including insights on why businesses should adopt an “AI-first” mindset and how leaders can most effectively capitalize on AI’s opportunities now and in the future, as well as manage the enhanced risks across their organizations.

The Think 2023 broadcast can be accessed at www.ibm.com/events/think. During his keynote airing Tuesday, May 9, 8:30 a.m. – 9:15 a.m. EDT, IBM CEO and Chairman Arvind Krishna will be joined on stage by leaders from Delta Airlines, Citi, and Red Hat to discuss their visions for creatively turning challenges into opportunities with hybrid cloud and AI. On Wednesday, May 10, 4:30 p.m. – 5:00 p.m. EDT, Darío Gil, Senior Vice President and Director of IBM Research, will give a keynote on how generative AI can be applied for business use cases.

Following the flagship event in Orlando, Think on Tour will travel to more than a dozen cities around the world. For updates on confirmed cities, please visit: https://www.ibm.com/events/think/on-tour/.

About IBM
IBM is a leading global hybrid cloud and AI, and business services provider, helping clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Nearly 4,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and business services deliver open and flexible options to our clients. All of this is backed by IBM’s legendary commitment to trust, transparency, responsibility, inclusivity and service. For more information, visit www.ibm.com.

Hugging Face and IBM to partner to help democratize access to foundation models

“To benefit from the latest AI capabilities, enterprises want to build on open-source machine learning: open-source models trained on accessible datasets that can run within a secure environment with compliance and proper data governance,” said Clem Delangue, co-founder and CEO, Hugging Face. “We are excited to partner with IBM to deliver a top-tier developer experience based on Hugging Face open-source and community-driven machine learning, within the new watsonx platform offering the enterprise-readiness and trustworthiness of IBM.”

Meta’s PyTorch team and IBM change one line of code to massively improve AI model training

“Businesses today cannot get the most from their AI and cloud technologies unless these innovations are equipped to succeed at scale,” Damien Sereni, Engineering Director, Meta. “Meta has enjoyed a multi-year collaboration with IBM to address this key challenge. And, with the release of IBM watsonx, the PyTorch team at Meta and IBM are collaborating further to build a production-ready software stack for end-to-end training, fine-tuning and inference of large-scale foundation models.”

How IBM and NASA’s AI foundation model can help track and adapt to climate change

“NASA is committed to the full, free and open sharing of over 100 PB of scientific data and information. This is the first-time foundation models have been applied to the immense archive of Earth science data and we are working with IBM to evaluate the foundation model stack within NASA’s Science Managed Cloud Environment,” said Kevin Murphy, Chief Science Data Officer at NASA. “Next-generation AI technology can expedite our analysis and discovery of mission-critical insights pertaining to Earth and climate-related issues, enabling scientists to gain insights that can help us protect our planet.”

WIX leverages IBM large language models to improve customer care

“Wix is proud to leverage state-of-the-art IBM large language models to uncover novel insights from vast amounts of PII-stripped customer care data and thereby increase our support of more than 243 million clients across the globe,” said Yoav Abrahami, Chief Architect at Wix and Head of Velo.

IBM’s plans, directions, and intentions may change or be withdrawn at any time at IBM’s discretion without notice. Information about potential future products and improvements is provided to give a general idea of IBM’s goals and objectives and should not be used in making a purchase decision. IBM is not obligated to provide any material, code, or functionality based on this information.

ARMONK, N.Y., May 3, 2023 /PRNewswire/ — Today, IBM announced Cadence Design Systems, Inc. (Nasdaq: CDNS), is leveraging high-performance computing (HPC) with IBM Cloud HPC to help develop its chip and system design software faster. With more than 30 years of computational software experience, Cadence helps companies deliver innovative electronic products, including chips, boards and systems for dynamic market applications such as hyperscale computing, 5G communications, automotive, mobile, aerospace, consumer, industrial and healthcare.

Building on its decades long history of delivering electronic design innovation and offering hosted design services, Cadence started its public cloud journey in 2016 and has since evolved to adopt a hybrid, multi-cloud approach, which includes IBM. The company has leveraged multiple research and development (R&D) workloads in IBM Cloud to achieve a variety of benefits, including those related to resiliency, performance, security, compliance and total cost of ownership.

With the integrated IBM Spectrum LSF deployed in a hybrid cloud solution for HPC, Cadence is able to flexibly manage its compute-intensive workloads on-premises and in the cloud with high levels of resiliency and performance. Using IBM HPC both on-prem and on IBM Cloud, Cadence can take advantage of the solution to address compute demand peaks while helping to mitigate the risk of downtime, which benefits enablement of strategic R&D work.

“As Cadence continues to drive computational software innovation, continuity is critical when it comes to optimizing operations across our business unit teams who are responsible for delivering chip and system design software to customers at a rapid pace. Leveraging IBM Cloud as part of our multi-cloud environment and IBM Spectrum LSF as the HPC workload scheduler, we’ve successfully achieved high-compute utilization, which lets us efficiently utilize our cloud budget and streamline our computational workload,” said Tarak Ray, corporate vice president and chief information officer, Cadence.

“As organizations modernize, IBM is committed to helping Cadence make the best workload placement decisions for their business based on resiliency, performance, security, compliance requirements and total cost of ownership. For IBM clients like Cadence, demanding HPC workloads require higher utilization capabilities, and with a hybrid cloud solution, they can better manage peak workloads. IBM Cloud HPC is designed to deliver increased storage performance, greater compute power and higher levels of security and with these capabilities we are helping Cadence improve HPC for computational software workload performance and drive overall efficiency,” said Rohit Badlaney, GM, Industry Cloud Platforms & Solutions, IBM.

With IBM Cloud for HPC integrated with IBM Spectrum LSF, Cadence reports it is able to perform more regressions, and as a result, can support more predictable and faster time to value. Bringing IBM’s longstanding experience in workload management and scheduling with IBM Spectrum LSF together with IBM Cloud for HPC provides the Cadence team with added value. As enterprises like Cadence work continuously to remain competitive, IBM Cloud HPC helps overcome large-scale, compute-intensive challenges and speed time to insight.

WALLDORF, Germany and ARMONK, N.Y. — May 2, 2023 — SAP SE and IBM today announced that IBM Watson® technology will be embedded into SAP® solutions to provide new AI-driven insights and automation to help accelerate innovation and create more efficient and effective user experiences across the SAP solution portfolio.

SAP will use IBM Watson capabilities to power its digital assistant in SAP Start , which provides a unified entry point for cloud solutions from SAP. With SAP Start, users can search for, launch and interactively engage with apps provided in cloud solutions from SAP and SAP S/4HANA® Cloud. New AI capabilities in SAP Start will be designed to help users boost productivity with both natural language capabilities and predictive insights using IBM Watson AI solutions built on IBM’s trust and transparency and data privacy principles.

“This milestone collaboration with IBM aims to provide SAP customers a better user experience, faster decision-making and greater insights to help transform their business processes,” said Christian Klein, CEO and Member of the Executive Board of SAP SE. “Working together to incorporate additional AI, machine learning and other intelligent technologies into SAP solutions can lead to better business outcomes for our joint customers. Today’s news, along with the recent news of our expanded use of Red Hat Enterprise Linux is a prime example of how the rich, 50-year partnership between our companies continues to grow stronger and move the industry forward.”

New digital assistant capabilities in SAP Start will be extended across SAP solutions to help answer diverse questions for managers and employees. By automating and speeding up common tasks, the capabilities are designed to help unlock employee productivity to focus on more strategic work. SAP Start will allow customers to benefit from intelligence at the point of decision-making with the ability to use AI and machine learning to extract information from a variety of data sources and answer user questions across lines of business. Today, IBM technology currently available in the TripIt mobile app from SAP Concur is helping nearly 13 million users easily access AI-derived weather insights to make more sustainable travel choices before and during their trips.

IBM delivers market-leading AI capabilities with Watson products deployed by more than 100 million users across 20 industries. In addition, SAP and IBM Consulting are currently supporting customers with 25 joint intelligent industry solutions that use IBM Watson capabilities underpinned by SAP Business Technology Platform (SAP BTP). These industry solutions help customers across industries such as retail, manufacturing and utilities accelerate their business transformation and use data to make more informed decisions.

“IBM and SAP are joining forces to give businesses new and exciting ways to harness the transformative power of AI and use it as a source of competitive advantage,” said Arvind Krishna, Chairman and Chief Executive Officer, IBM. “With this announcement, we are infusing IBM Watson’s powerful, enterprise-grade AI capabilities into SAP’s leading ERP platform to help businesses reimagine customer experiences, boost productivity and fuel growth.”

In addition to natively embedding IBM Watson AI capabilities into SAP solutions, SAP and IBM are collaborating on generative AI and large language models aimed to deliver consistent continuous learning and automation based on SAP’s mission-critical application suite.

ARMONK, N.Y., April 24, 2023 — Today IBM unveiled its new security suite designed to unify and accelerate the security analyst experience across the full incident lifecycle. The IBM Security QRadar Suite represents a major evolution and expansion of the QRadar brand, spanning all core threat detection, investigation and response technologies, with significant investment in innovations across the portfolio.

The new IBM Security QRadar Suite includes EDR/XDR, SIEM, SOAR, ¬and a new cloud-native log management capability – all built around a common user interface, shared insights and connected workflows

Delivered as a service, the IBM Security QRadar Suite is built on an open foundation and designed specifically for the demands of hybrid cloud. It features a single, modernized user interface across all products – embedded with advanced AI and automation designed to empower analysts to work with greater speed, efficiency and precision across their core toolsets.

Today’s Security Operation Center (SOC) teams are protecting a fast-expanding digital footprint that extends across hybrid cloud environments – creating complexity and making it hard to keep pace with accelerating attack speeds. They can be slowed down by labor-intensive alert investigations and response processes, manually stitching together insights and pivoting between disconnected data, tools and interfaces. SOC professionals say they spend around one-third of their day investigating and validating incidents that turn out to not be real threats, according to a recent survey.²

Built on the company’s existing leadership in 12 security technology categories,³ IBM has rearchitected its market leading threat detection and response portfolio to maximize speed and efficiency, and to meet the specific needs of today’s security analysts. The new IBM Security QRadar Suite includes EDR/XDR, SIEM, SOAR, ­and a new cloud-native log management capability – all built around a common user interface, shared insights and connected workflows, with the following core design elements:

• Unified Analyst Experience: Refined in collaboration with hundreds of real-world users, the suite features a common, modernized user interface across all products: designed to dramatically increase analyst speed and efficiency across the entire attack chain. It is embedded with enterprise-grade AI and automation capabilities that have been shown to speed alert investigation and triage by 55% in the first year, on average.¹
• Cloud Delivery, Speed & Scale: Delivered as a service on Amazon Web Services (AWS), QRadar Suite products allow for simplified deployment, visibility and integration across cloud environments and data sources. The suite also includes a new, cloud-native log management capability optimized for highly efficient data ingestion, rapid search and analytics at scale.
• Open Foundation, Pre-Built Integrations: The suite brings together the core technologies needed across threat detection, investigation and response – built around an open foundation, an extensive partner ecosystem, and more than 900 pre-built integrations that provide strong interoperability between IBM and third-party toolsets.

“In the face of a growing attack surface and shrinking attack timelines, speed and efficiency are fundamental to the success of resource-constrained security teams,” said Mary O’Brien, General Manager, IBM Security. “IBM has engineered the new QRadar Suite around a singular, modernized user experience, embedded with sophisticated AI and automation to maximize security analysts’ productivity and accelerate their response across each step of the attack chain.”

Co-innovation for Real-World Security Demands

The QRadar Suite is the culmination of years of IBM investment, acquisitions and innovations in threat detection and response. It features dozens of mature AI and automation capabilities that have been refined over time with real-world users and data, including IBM Managed Security Service engagements with more than 400 clients. It also includes innovations developed in collaboration with IBM Research and the open source security community.

These AI-powered capabilities have been shown to significantly improve the speed and accuracy of SOC operations: For example, allowing IBM Managed Security Services to automate more than 70% of alert closures[4] and reduce its alert triage timelines by 55%² on average within the first year of implementation.

Bringing these capabilities together via the unified analyst experience, the QRadar Suite automatically contextualizes and prioritizes alerts, displays data in visual format for rapid consumption, and provides shared insights and automated workflows between products. This approach can drastically reduce the number of steps and screens required to investigate and respond to threats. Examples include:

• AI-Powered Alert Triage: Automatically prioritizes or closes alerts based on AI-driven risk analysis, using AI models trained on prior analyst response patterns, along with external threat intelligence from IBM X-Force and broader contextual insights from across detection toolsets.
• Automated Threat Investigation: Identifies high-priority incidents that may warrant investigation, and automatically initiates investigation by fetching associated artifacts and gathering evidence via data mining across environments. The system uses these results to generate a timeline and attack graph of the incident based on MITRE ATT&CK framework and recommends actions to speed response.
• Accelerated Threat Hunting: Uses open source threat hunting language and federated search capabilities to help threat hunters discover stealthy attacks and indicators of compromise across their environments, without moving data from its original source.

By helping analysts respond faster and more efficiently, QRadar technologies can also help security teams improve their productivity and free up analysts’ time for higher value work.

Open, Connected and Modernized Security Suite

The QRadar Suite leverages open technologies and standards across the portfolio, alongside hundreds of pre-built integrations with IBM Security ecosystem partners. This model enables deeper shared insights and automated actions across third party clouds, point products, and data lakes, which can reduce deployment and integration times from months to days or weeks.

The IBM QRadar Suite includes the following core products, initially delivered as SaaS and updated with the new unified analyst experience:

• QRadar Log Insights: A new, cloud-native log management and security observability solution providing simplified data ingestion, sub-second search and rapid analytics. It leverages an elastic security data lake optimized to collect, store and perform analytics on terabytes of data with greater speed and efficiency. It is designed for cost effective security log management alongside federated search and investigation.
• QRadar EDR and XDR: Helps companies protect their endpoints against previously unknown, zero-day threats – using automation and hundreds of machine learning and behavioral models to detect behavioral anomalies and respond to attacks in near-real time. It leverages a unique approach that monitors operating systems from the outside, helping avoid manipulation or interference by adversaries. For companies looking to extend their detection and response capabilities beyond the endpoint, IBM also offers XDR with alert correlation, automated investigation, and recommended responses across network, cloud, email, and more, as well as managed detection and response (MDR).
• QRadar SOAR: Recent winner of a Red Dot Design Award for interface & user experience; helps organizations automate and orchestrate incident response workflows and ensure their specific processes are followed in a consistent, optimized and measurable way. It includes 300 pre-built integrations and offers out of the box playbooks for responding to 180+ global data breach and privacy regulations.
• QRadar SIEM: IBM’s market leading QRadar SIEM has been enhanced with the new unified analyst interface which provides shared insights and workflows with broader security operations toolsets. It offers real-time detection, leveraging AI, network and user behavior analytics, and real-world threat intelligence built to provide analysts with more accurate, contextualized and prioritized alerts. IBM also plans to make QRadar SIEM available as a service on AWS by the end of Q2 2023.

The IBM Security QRadar Suite is available today via individual SaaS offerings. For more information, visit: https://www.ibm.com/qradar

Statements regarding IBM’s future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.

CAMBRIDGE, MA and ARMONK, NY / April 20, 2023 / Moderna, Inc. (Nasdaq: MRNA), a biotechnology company pioneering messenger RNA (mRNA) therapeutics and vaccines, and IBM today announced an agreement under which Moderna will explore next generation technologies including quantum computing and artificial intelligence to advance and accelerate mRNA research and science.

“Since our inception, we have always strived to be at the forefront of cutting-edge technology, leveraging innovations to deliver the greatest possible impact to people through mRNA medicines,” said Stéphane Bancel, Chief Executive Officer of Moderna. “We are excited to partner with IBM to develop novel AI models to advance mRNA science, prepare ourselves for the era of quantum computing, and ready our business for these game-changing technologies. We are aiming for breakthrough advances with quantum computing, so we are investing now in building a quantum-ready workforce, to be fully prepared to harness the power of this technology.”

“IBM’s purpose is to be the catalyst to make the world work better, perfectly exemplified by this partnership with Moderna. We are witnessing a revolution in the world of computing, driven by extraordinary advances in AI and quantum computing,” said Dr. Darío Gil, Senior Vice President, and Director of IBM Research. “Moderna will be able to take advantage of our multi-year research efforts in generative AI for therapeutics that can allow scientists to better understand how molecules behave and may facilitate creating entirely new ones. We are also excited to work with Moderna to help prepare their scientists in the knowledge and use of IBM’s industry-leading quantum computing technologies with the goal of accelerating the discovery and creation of new therapeutics.”

Quantum computing skills development for mRNA medicine design

Quantum computing is a rapidly emerging and transformative technology that utilizes the principles of quantum mechanics to solve problems too complex for classical computers. Moderna scientists will learn how quantum technology could be applied to previously intractable problems for classical computers. Together, the companies will explore the potential application of quantum approaches to Moderna’s scientific challenges.

Moderna will participate in the IBM Quantum Accelerator program and the IBM Quantum Network. Under the agreement, IBM will provide access to quantum computing systems, as well as expertise to assist Moderna in exploring cutting-edge life sciences use-cases powered by quantum technologies.

AI models for mRNA medicine design

Moderna and IBM scientists will apply MoLFormer, an AI foundation model that can help scientists predict a molecule’s properties, and could help them understand the characteristics of potential mRNA medicines. Moderna’s goal will be to use MoLFormer to help optimize lipid nanoparticles, which encapsulate and protect mRNA as it travels within the body, and mRNA, which acts as instructions to cells in order to fight disease. Under this initiative, Moderna and IBM will combine state-of-the-art formulation discovery with generative AI to design mRNA medicines with optimal safety and performance.

LONDON and ARMONK, NY, April 13, 2023. The EY organization and IBM  today announced today that EY Global Services Limited will be joining the IBM Quantum Network, further enabling EY teams to explore solutions with IBM that could help resolve some of today’s most complex business and global challenges. The EY organization will gain access to IBM’s fleet of quantum computers over the cloud, and will become part of the IBM Quantum Network’s community of organizations working to advance quantum computing.

Quantum computing is a rapidly emerging technology that harnesses the laws of quantum mechanics to solve problems that today’s most powerful supercomputers cannot practically solve. EY teams will leverage their access to the world’s largest fleet of quantum computers to explore solutions to enterprise challenges across finance, oil and gas, healthcare, and government.

The EY organization established its own Global Quantum Lab last year with a mission to harness quantum value in the domains of trust, transformation, and sustainability. Using IBM quantum technology, EY teams plan to conduct leading-class research to uncover transformative use cases, including: the reduction of CO2 emissions from classical computing, the improvement of safety and accuracy of self-driving cars, and most critically, integrate quantum benefits into organizations’ mainstream systems for data processing and enterprise decision making.

Andy Baldwin, EY Global Managing Partner – Client Service, says:

“Quantum, in terms of importance to business, society and the EY organization, is akin to what AI represented years ago. This alliance puts the EY organization at the forefront of technology. As we invest in this level of quantum computing access, we accelerate our own position and depth of knowledge and capabilities in this space and deepen our rich relationship with our IBM alliance teams.”

Jeff Wong, EY Global Chief Innovation Officer, says:

“As we navigate this period of technology-led change, which is accelerating at unprecedented speed, companies must have a full understanding of how to maximize breakthrough innovations in order to keep pace. Through this relationship with IBM, the EY organization will now have the ability to take advantage of quantum computing to propel its innovation journey.”

Jay Gambetta, Vice President, IBM Quantum, says:

“IBM’s vision is to deliver useful quantum computing to the world. We value partners like the EY organization that can introduce the emerging technology to a wide ecosystem of public and private industry. This will help EY facilitate the exploration of quantum computing’s potential for use cases that matter in their industry.”

Membership in the IBM Quantum Network is part of a broader effort by the EY organization to invest and develop robust capabilities in emerging technologies, which already include artificial intelligence, blockchain, and metaverse development. Beyond the increased investment of the EY-IBM Alliance, the EY organization is investing $10 billion in technology initiatives over three years, including investment in the organization’s own quantum function.

ARMONK, N.Y., April 11, 2023/ — IBM today announced the release of its 2022 IBM Impact report, which includes the company’s information about its environmental, social and governance efforts.

In 2022, IBM launched the IBM Impact framework -its strategy on ESG- with its Environmental Impact, Equitable Impact, and Ethical Impact pillars that reflect IBM’s achievements, and strategies to build a future that is more sustainable, equitable, and ethical.

Highlights from the 2022 IBM Impact report include:

• IBM exceeded our target to train 1,000 ecosystem partners in technology ethics. We are also launching a new commitment to train 1,000 suppliers in technology ethics by 2025.
• We are making progress on our commitment to invest $250 million in IBM’s skills-first transformation with a focus on multiple pathways to employment. We have hired over 900 apprentices through our apprenticeship program in the U.S. and more than 90% of past program graduates have become full-time IBM employees.
• Advancing on our goal to skill 30 million people by 2030,  over 7 million learners have enrolled in free IBM courses through our combined education initiatives. For example, we are collaborating with over 20 historically black colleges and universities (HBCUs) on IBM Cybersecurity Leadership Centers.
• IBM’s diversity practices have resulted in a year-over-year increase in representation for women globally and Black, Hispanic, Native American and Pan-Asian employees in the U.S.
• IBM made progress towards our goal of net-zero operational greenhouse gas emissions by 2030. In 2021, we reported a 61.6% reduction in emissions since 2010. Over the last two years, IBM completed a total of 1,455 energy conservation projects. As a result of the conservation projects implemented in 2022, we avoided 71,000 MWh of energy consumption and 25,600 metric tons of CO₂ emissions.
• IBM diverted 93.8% (by weight) of IBM’s total nonhazardous waste from landfill or incineration.

“While we are proud of the progress we have made, we are mindful that advancing our environmental, social, and governance goals is a continuous journey of improvement,” said Arvind Krishna, IBM Chairman and Chief Executive Officer. “I am always inspired by IBMers’ constant dedication to this essential work and their pursuit of a better future for all.”

As a 111 year-old-company, IBM has a long history of commitments that align business goals with broader societal and environmental impact. For example, IBM’s first environmental report was released in 1990, and the company has championed diverse hiring practices for more than 50 years.

ARMONK, N.Y. and BOSTON, March 29, 2023— IBM and Wasabi Technologies, the hot cloud storage company, today announced they are collaborating to drive data innovation across hybrid cloud environments. This collaboration aims to allow enterprises to run applications across any environment – on-premises, in the cloud or at the edge – and help enable users to cost efficiently access and utilize key business data and analytics in real time. The Boston Red Sox will be the first to leverage the joint power of IBM Cloud Satellite® and Wasabi hot cloud storage, designed to improve the club’s operations across its entire business.

Both IBM Cloud and Wasabi are committed to delivering resiliency, performance, security, and compliance capabilities for their clients. Wasabi hot cloud storage does not charge for egress or API requests when they want to access their data, which Wasabi reports can help with cost predictability and savings for clients. Data can be stored and accessed how and when it is needed. The hybrid cloud approach delivered with IBM Cloud Satellite, can help clients manage cloud object storage and workloads running across environments from a single control point, using innovative security and controls no matter where data is being collected, processed or shared. The Red Sox plan to leverage Wasabi hot cloud storage across its hybrid cloud infrastructure while piloting IBM Cloud Satellite to house data including player video, analytics, surveillance data, IoT, and more, across Fenway Park and bring the flexibility and agility of public cloud services to its secured on-premises data center.

“Our critical data is growing at an incredible rate, so our organization is prioritizing a cost-effective and scalable approach to leverage cloud technology,” said Brian Shield, senior vice president and chief technology officer, Boston Red Sox. “The performance and cost reliability Wasabi delivers have already been advantageous for the Red Sox, and with the addition of IBM hybrid cloud technology we hope to take our digital initiatives to the next level. All of that ultimately funnels back to delivering a best-in-class fan experience.”

Through IBM Cloud and Wasabi, clients across all industries can take advantage of extended secured and open cloud services to help transform applications and workflows, managing security across any environment. This allows enterprises to store and access their data whether on-premises, in the cloud or at the edge.

“Wasabi is on a mission to store all the world’s data. Organizations storing an enormous amount of data, including sports organizations, need to be able to store it in an affordable, accessible way without being locked into a single vendor with exorbitant fees,” said David Friend, co-founder and chief executive officer, Wasabi Technologies. “Collaborating with IBM demonstrates Wasabi’s commitment in the cloud storage market and gives our customers a better way of managing their data cross locations.”

“In today’s digital-first world, data can be an organization’s greatest asset – empowering them with valuable insights that can transform business. Our collaboration with Wasabi technology will allow clients to re-imagine business processes enabled by data, while focusing on resiliency, performance, security and compliance. We are helping organizations across all industries, even those that are highly regulated, uncover game-changing insights from any environment, without sacrificing security,” said Howard Boville, Head of IBM Hybrid Cloud Platform.

For more information about IBM Cloud Satellite visit: https://www.ibm.com/cloud/satellite.