Planview | September 13, 2023
Planview, a leader in portfolio and value stream management, unveiled Planview Copilot, an advanced generative AI assistant, at its annual flagship customer event, Planview Accelerate. This innovative AI tool leverages comprehensive data sets to provide operational insights across portfolio management, value stream management, and agile planning and delivery, offering a conversational interface for data-driven strategic decision-making.
Razat Gaurav, CEO of Planview, expressed his views on the potential of digital transformation initiatives. He emphasized that as organizations undertake an increasing number of these initiatives and utilize a wide range of tools to implement them, there is a significant opportunity to rethink how intelligent decisions can be made to expedite business results. He introduced Planview Copilot, which harnesses all pertinent data across project and product initiatives and delivers insights, decision support, and actions through a straightforward, conversational interface. He further highlighted this as a crucial progression in their journey from being a system of record to evolving into a system of insights for digital transformations.
Planview Copilot gains access to a vast ecosystem of operational data, including exclusive strategy-to-delivery data, broader data from team tools, and an organization's historical initiative data. By integrating these data sources with Planview’s Flow Methodology and Agile Principles, Planview Copilot offers guidance and solutions throughout the strategy-to-execution journey.
Richard Sonnenblick, Chief Data Scientist at Planview, stated that the future of connected work is built on a profound and insightful comprehension of how their customers deliver services, launch products, and successfully implement their strategies. He emphasized that this understanding is rooted in customer data. He explained that they utilize AI and machine learning techniques to analyze each customer's current and historical operational data in order to predict task completion, provide early warnings about tasks that may need course correction, and identify discrepancies between strategic objectives and ongoing activities. Also, he further added that through Planview Copilot, generative AI serves as the cherry on top, providing a user-friendly, conversational access point to these advanced AI and ML insights.
Planview Copilot simplifies complex data insights using natural language processing, making them accessible to individuals and teams. It serves as an early warning system, alerting organizations to potential issues before they become costly or risky. This AI assistant is designed to empower executive leaders, portfolio managers, and teams by providing clear insights and recommendations.
Dr. Mik Kersten, Planview CTO and Founder of The Flow Framework, emphasized,
The launch of Planview Copilot marks the start of a step-function improvement in turning established organizations into digital innovators.
[Source: Business Wire]
This announcement follows Planview’s recent launch of Digital Products Insights, a convergence of portfolio management, agile planning, and value stream management powered by AI sentiment analysis.
Planview Copilot is set to be available in Q4 2023, will reinforce Planview's commitment to proactive, data-driven decision-making for connected work.
Planview, a software development company based in Austin, Texas, is on a mission to shape the future of connected work. The company is dedicated to helping organizations accelerate the achievement of their most important goals. Its platform, which underpins business and digital transformations for over 4,500 customers globally, including 59 Fortune 100 companies, is designed to accelerate the achievement of goals.
Business Wire | October 25, 2023
DataStax, the company that powers generative AI applications with real-time, scalable data, today announced a new integration with LangChain, the most popular orchestration framework for developing applications with large language models (LLMs). The integration makes it easy to add Astra DB – the real-time database for developers building production Gen AI applications – or Apache Cassandra, as a new vector source in the LangChain framework.
As many companies implement retrieval augmented generation (RAG) – the process of providing context from outside data sources to deliver more accurate LLM query responses – into their generative AI applications, they require a vector store that gives them real-time updates with zero latency on critical, real-life production workloads.
Generative AI applications built with RAG stacks require a vector-enabled database and an orchestration framework like LangChain, to provide memory or context to LLMs for accurate and relevant answers. Developers use LangChain as the leading AI-first toolkit to connect their application to different data sources.
The new integration lets developers leverage the power of the Astra DB vector database for their LLM, AI assistant, and real-time generative AI projects through the LangChain plugin architecture for vector stores. Together, Astra DB and LangChain help developers to take advantage of framework features like vector similarity search, semantic caching, term-based search, LLM-response caching, and data injection from Astra DB (or Cassandra) into prompt templates.
In a RAG application, the model receives supplementary data or context from various sources — most often a database that can store vectors, said Harrison Chase, CEO, LangChain. Building a generative AI app requires a robust, powerful database, and we ensure our users have access to the best options on the market via our simple plugin architecture. With integrations like DataStax's LangChain connector, incorporating Astra DB or Apache Cassandra as a vector store becomes a seamless and intuitive process.
“Developers at startups and enterprises alike are using LangChain to build generative AI apps, so a deep native integration is a must-have,” said Ed Anuff, CPO, DataStax. “The ability for developers to easily use Astra DB as their vector database of choice, directly from LangChain, streamlines the process of building the personalized AI applications that companies need. In fact, we’re already seeing customers benefit from our joint technologies as healthcare AI company, Skypoint, is using Astra DB and LangChain to power its generative AI healthcare model.”
To learn more, join the live webinar on October 26 at 9am PT, where LangChain founder and CEO, Harrison Chase, and SkyPoint founder and CEO, Tisson Mathew, discuss their experience building production RAG applications.
DataStax is the company that powers generative AI applications with real-time, scalable data with production-ready vector data tools that generative AI applications need, and seamless integration with developers’ stacks of choice. The Astra DB vector database provides developers with elegant APIs, powerful real-time data pipelines, and complete ecosystem integrations to quickly build and deploy production-level AI applications. With DataStax, any enterprise can mobilize real-time data to quickly build smart, high-growth AI applications at unlimited scale, on any cloud. Hundreds of the world’s leading enterprises, including Audi, Bud Financial, Capital One, SkyPoint Cloud, Verizon, VerSe Innovation, and many more rely on DataStax to deliver real-time AI. Learn more at DataStax.com.
Apache, Apache Cassandra, and Cassandra, are either registered trademarks or trademarks of the Apache Software Foundation or its subsidiaries in Canada, the United States, and/or other countries.
PR Newswire | November 02, 2023
Mural, the leading visual work platform for the Enterprise, today announced its integration with Microsoft 365 Copilot, which provides Copilot users with an AI-powered experience that can be used in conjunction with Mural. Mural is one of the first integrations with Microsoft 365 Copilot which became generally available (GA) today and is the only visual collaboration solution in the initial set of third-party integrations being offered. Alongside this integration, Mural is launching Mural AI, which includes the AI-powered features: actions, mind maps, and clustering. Mural is firmly committed to creating tools and developing partnerships that help teams harness the power of AI to solve the most pressing challenges faced by teams in the enterprise today. Through in-platform AI solutions and responsible, secure integrations with existing tools, Mural is giving teams across the enterprise the technology they need to work together better, faster, and smarter, for increased productivity and job satisfaction.
Integration with Microsoft 365 Copilot
Microsoft selected Mural to be among a group of premier partners — as well as the only visual work platform — supporting Microsoft 365 Copilot at launch. With its Microsoft 365 Copilot integration, Mural is taking the next step to providing a seamless visual collaboration experience and saving organizations time as part of the central Copilot experience. With the integration, members can leverage simple, natural language prompts to streamline their daily tasks. Using Mural and Copilot, a sales representative can easily find the customer discovery mural for their account; a designer can quickly summarize a brainstorming mural with hundreds of sticky notes; and a product manager can efficiently retrieve a project kickoff mural template — and much more.
Mural AI Features
Mural's purpose-built AI features empower teams to kickstart their projects, broaden their horizons, and work more efficiently together. Mural AI features help teams automate redundant and routine tasks, quickly synthesize information, and generate new ideas so they can spend their time doing the higher-level thinking that humans do best.
Mind maps: Mind maps are a great visual tool for following ideas and seeing where they lead. Mural AI can generate mind maps automatically from a single prompt and allow users to keep following the thread, empowering teams to create and develop great ideas faster and more effectively than ever before.
Actions: Actions helps members save time and simplify workflows with natural language prompts to quickly and efficiently complete common tasks. Summarize a group of sticky notes, get ideas to jumpstart a brainstorming session, generate icebreakers and more from a single entry-point that's intuitive and easy to use.
Clustering: When teams are generating ideas together, it can take a lot of time and energy to find those common threads that are critical to moving forward with confidence. Mural's AI clustering makes finding and sorting ideas a breeze, paving the way to new insights and enabling a smoother, faster-decision making process so teams can focus on the bigger picture.
Mural's product is built to streamline workflows and allow knowledge workers to focus on the work that matters.
"The new AI features in Mural are a brainstorming game changer. Pushing people to really dig deep to be creative can be challenging. The ability to quickly generate a mind map to jumpstart thinking will be very powerful. Using AI to quickly group ideas will cut significant time out of a workshop normally spent just 'organizing' thoughts. Now we can focus on creating thoughts." - Cindi P., Operations Lead, Professional Services Company
The Future of AI
A recent study carried out by Mural found that nearly two-thirds of all knowledge workers are excited and optimistic about AI's ability to help teams work together more effectively. Specifically, they recognize the power of AI to reduce repetitive tasks and automate processes. Managers are even more optimistic about AI than individual contributors (88% vs 74%). Mural's AI features, along with its Copilot integration, empower teams to kickstart their projects, broaden their horizons and work more efficiently together, all while ensuring thorough security and privacy from start to finish.
We're thrilled to announce our integration with Microsoft Copilot, which brings AI-enabled collaborative tools to the ever-evolving workplace, said David Baga, CEO of Mural. Mural is committed to developing innovative solutions that address the pain points of teamwork, and this integration represents a significant milestone in that regard. Over the years, we've had a great partnership with Microsoft, and we are delighted to be one of the first plugins available at launch for Microsoft 365 Copilot. The future of work is AI-enabled, and Mural is proud to be leading the charge with Microsoft to bring innovative ways to collaborate to the workforce.
"We are at a major inflection point where AI is reshaping work and transforming how we collaborate," said Srini Raghavan, VP of Product Management for Microsoft Teams Ecosystem. "Through our expanded integrations our customers will be leveraging Microsoft 365 Copilot and Mural plugin, to improve efficiency, productivity, and collaboration within their teams."
Mural's products are built for the enterprise and take a proactive approach in addressing the security needs of its users when building and deploying its AI capabilities. The company maintains active SOC 2 Type 2, ISO 27001 and ISO 9001 certifications and complies with GDPR and CCPA regulations. In addition, Mural is Microsoft 365 Certified. Mural plans to continue to develop the Mural AI offering and further extend its integration with Microsoft 365 Copilot to improve how teams work together today and in the future. For more information, please visit mural.co/ai.
Mural, the leading visual work platform for the enterprise, makes teamwork feel like less work. Our intuitive visual workspace enables teams to easily work together and collaborate better using proven design-thinking techniques. Built for enterprise teams, Mural meets the most stringent of IT and regulatory requirements. Industry leaders — including IBM, Microsoft, SAP, and Abercrombie & Fitch — choose Mural to help their teams accelerate innovation and problem solving at scale. Whether your team is fully remote, distributed, in the office, or still figuring it out, Mural brings teams across the enterprise together to do the work that matters most. Try it for free at www.mural.co.
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. "
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.