Software
BMC Software | November 06, 2023
BMC Software's new AIOps capabilities in BMC Helix Operations Management use AI for quick IT issue resolution.
The solution boosts IT operations in hybrid, multi-cloud environments, enhancing visibility and service performance.
New features like service blueprints, causal AI-powered explainability, and AIOps situation fingerprinting expedite incident resolution and risk recovery.
BMC Software, a global leader in IT solutions, announces new AIOps capabilities for its BMC Helix Operations Management solution using the BMC HelixGPT capability. The solution uses advanced AI to find problems' root causes more quickly. It changes the way IT works by adding dynamic service modeling, situation explainability, and deep container auto-detection to better understand containerized environments.
As businesses grapple with complex hybrid, multi-cloud environments and increasing data volume and complexity, the need for advanced AI and machine learning to drive visibility, observability, and optimum business service performance is paramount.
Nancy Gohring, research director for IDC's Enterprise System Management, Observability and AIOps program, emphasized the importance of modernizing IT operations in line with the adoption of hybrid and cloud-native technologies. AIOps capabilities that leverage AI to pinpoint problem causes, guide users to the correct response, and predict potential future issues are key to ensuring service delivery aligns with business outcomes.
The BMC Helix Operations Management solution combines advanced causal AI to identify issue root causes, predictive AI for proactive problem identification and resolution, and generative AI for automating event summaries and best action recommendations for complex problems. These innovations enable IT operations to deliver higher service availability and resilience to businesses, driving efficient operational performance with greater tool silo visibility and superior AI-driven insights for significantly improved problem identification and repair times.
The new BMC Helix Operations Management innovations include out-of-the-box service blueprints, situation explainability powered by causal AI, and AIOps situation fingerprinting powered by AI, GPT, and NLP. These features ensure accurate service models in ever-changing IT environments, swift incident resolution, and faster recovery from service outages and other potential risks.
While the new AIOps capabilities in BMC's Helix Operations Management solution offer a host of benefits, they also present potential challenges. The complexity of AI systems can lead to difficulties in understanding and controlling their operations, which could pose challenges in troubleshooting and rectifying issues. Additionally, the heavy reliance on AI might reduce the level of human oversight in IT operations, which could be risky in certain scenarios. The effectiveness of the solution is also heavily dependent on the quality and quantity of data it receives, which might not always be optimal in real-world scenarios.
On the brighter side, the benefits of this solution are substantial. The use of advanced AI capabilities allows for swift identification and resolution of IT issues, greatly improving operational efficiency. The solution's ability to enhance IT operations in complex hybrid, multi-cloud environments is a significant advantage, as it provides much-needed visibility and service performance. The new features, including out-of-the-box service blueprints, causal AI-powered explainability, and AIOps situation fingerprinting, ensure swift incident resolution and faster recovery from potential risks. These innovations lead to higher service availability and resilience, which are crucial for businesses in today's digital age. Overall, despite some potential challenges, the BMC Helix Operations Management solution's new AIOps capabilities present a promising advancement in the field of IT operations management.
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AI Tech
PR Newswire | November 03, 2023
CGI (NYSE: GIB) (TSX: GIB.A) today announced the expansion of the company's partnership with Google to drive innovation in the responsible use of artificial intelligence (AI) technologies. This partnership will help clients accelerate their time-to-value from new generative AI use cases specific to their industries. As part of the agreement, CGI will leverage Google Cloud Platform (Google Cloud) to enhance the capabilities of its CGI PulseAI solution, a hyper-automation and decision engine platform that uses AI and machine learning models to deliver high-performance intelligent process automation.
"AI continues to be at the top of discussion agendas with clients around the world seeking trusted advice from CGI for how to responsibly move from AI experimentation to implementation—while accelerating their return on investment," said CGI President and Chief Executive Office George D. Schindler. "Our expanded partnership with Google is one of the key global alliances that will help us develop and deliver new AI-based services and solutions for clients, as well as expanded skills development opportunities for our consultants."
Generative AI is fundamentally changing how many businesses operate, fueling a new era of cloud that can benefit virtually every area of an organization, said Thomas Kurian, CEO of Google Cloud. By utilizing Google Cloud's leading GenAI capabilities, CGI can help clients unlock new insights that help them improve operations and productivity.
Google's Vertex AI will enable CGI PulseAI to build trusted industry-specific large language models that will enable the development and implementation of unique generative AI use cases for clients. For example, in the financial sector, Google Cloud's trusted data will enable CGI PulseAI to refine a tailored model, called "FinPulseAI," for financial services clients.
Likewise, unique models can be developed for other industries, increasing CGI PulseAI's rapid adaptability in meeting the industry-specific needs of clients. For example, CGI plans to explore the use of Google's MedPaLM2 model for transforming medical claims processing and validation. The initiative will merge CGI's deep health sector expertise with Google's advanced AI model to provide enhanced medical claim validation and fraud detection for health clients. Clients will be able to process medical claims faster and with greater accuracy, ensuring that each claim is legitimate and compliant. By harnessing the power of models like MedPaLM2, health providers, researchers, and administrators will have expanded tools that enable better delivery of care while expanding the boundaries of medical science for the benefit of patients and society.
Google Cloud's robust, scalable infrastructure also will accelerate clients' implementation of CGI PulseAI services by managing all computing and memory requirements, increasing the solution's customization capabilities and enabling a broader range of solution offerings. With the integration of Google Cloud and CGI PulseAI, clients can better meet today's business demands, as well as predict and address industry challenges before they emerge, helping them stay at the forefront of their industries.
CGI will launch Google AI training globally as an addition to the AI curriculum in its "CGI Academia" online university. The two companies also will develop AI sandboxes using Google Cloud technologies to support ongoing AI development in support of the delivery of innovative solutions.
CGI's end-to-end capabilities in data science and machine learning, combined with its deep domain knowledge and technology engineering skills, help clients generate new insights, experiences, and business models powered by AI. CGI PulseAI is a trademark of CGI Inc. and its related companies. For more information on the company's AI expertise and offerings, visit cgi.com.
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AI Tech
PR Newswire | October 19, 2023
Jasper, an early leader in generative AI tools for businesses, announced today that it is expanding its functionality to become an end-to-end AI copilot for better marketing outcomes. The product release comes exactly one year after Jasper's record-breaking Series A funding and includes new features designed to evolve AI assistance from simply creating content faster to helping marketers perform better.
More advanced than writing assistants, AI copilots are personalized to each company and securely combine business context and memory with purpose-built skills for better outcomes. With this new launch, the company will be adding analytics and AI insights for better performing content, an intelligence hub to securely tap into brand, strategy and audience information, and campaign acceleration tools for better collaboration and review processes.
This announcement comes on the heels of the company's recent appointment of its new CEO, former Dropbox President Timothy Young, as he leads the company through its next stage of growth with a focus on the enterprise. The enterprise business has accelerated to become the company's fastest growing segment, with the sales team increasing total enterprise ARR by 4x.
Analytics and Insights: For better outcomes in addition to faster outputs
As part of the release, Jasper announced the addition of analytics and insights to the marketing copilot. Users will be able to see what content is working to drive business goals, get AI recommendations to optimize underperforming content and deploy revisions with the click of a button.
The first chapter of AI was all about speed, said Young, CEO of Jasper. Marketers certainly want efficiency, but they also want results. By adding analytics and AI insights into Jasper, we hope to help make the next chapter of AI in the enterprise about speed and performance.
Jasper analytics will also surface trends in content performance to highlight opportunities and inform future strategy. The combination of performance reporting, pattern recognition, and accelerated revisions brings a clearer picture of ROI for high-volume marketing teams.
"Jasper has long been a cost savings tool," said Young. "With the addition of performance analytics, it becomes a revenue generating one too."
Company Intelligence: For content that's shaped by strategy
The company also added a central hub to securely store institutional knowledge inside Jasper. Expanding on its capacity to train Jasper on your brand voice and style guide, the addition of the company intelligence hub means that companies will be able to connect to data systems or upload positioning and strategy documents so that content generated through Jasper is better informed and more strategic.
In a 2023 study, Jasper found the leading reasons marketers are hesitant to try AI are generic outputs (35%) and inaccuracies (36%). This feature will reduce AI hallucinations with respect to customers' company information and enable them to put strategy, audience research, competitive positioning and other key stances at the epicenter of all marketing content. Through Jasper's new X-ray view, users will be able to see exactly where a piece of content strays from the style guide or brand voice. In addition, because this hub can be easily updated, change management as your company's information and messaging evolves is far simpler and more comprehensive.
Campaign Acceleration: For better coordination and faster review cycles
Finally, with the release Jasper aims to address the common issue of coordination within enterprise marketing teams. Jasper has taken an AI-native approach to getting a team organized around a project or campaign, bringing campaign management tools like assignments, comments, and scheduling directly into the flow of content production. In addition, in the near future these tools will provide AI summaries of feedback and one-click automation of revisions for even faster review cycles. All of this is meant to reduce the administrative lift that external project management tools require and move through revisions in a more productive way.
"Jasper has really helped our marketing team scale digital and social content that build on Morningstar's independent investing research. It's not just about faster content and more of it, but about higher audience engagement," said Steve Bendt, chief marketing officer for Morningstar. "It's been a game changer for social media, where Jasper has helped us build quality content that's driving double-digit growth in content downloads."
Greater Enterprise Control: For greater security and better brand integrity everywhere
In addition to having SOC2 compliance and key enterprise control measures, Jasper has expanded its extensibility by moving its API to full availability. Customers can use the API to pull on-brand, personalized messaging into any of their platforms. "Jasper has also added Spaces to its administrative tools so administrators can have greater control over user permissions, and users can get a clearer, less cluttered view into their work. By having both private and public spaces inside the copilot, teams can work on content, campaigns in a quiet space or collaborate together depending on their needs. "
About Jasper
Founded in 2021, Jasper is an AI copilot for marketing teams that want better outcomes in addition to faster outputs. Jasper securely trains on your brand and strategy, accelerates content and campaign production, and helps marketers measure and optimize for performance all as part of an end-to-end copilot. Jasper has been recognized as "one of America's fastest-growing private companies" by Inc. 5000 and was one of the fastest companies to reach 100M+ users. Customers include Sports Illustrated, Anthropologie, SentinelONE, Transcend.io and more. Learn more at jasper.ai.
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