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.
Ironclad Inc | September 11, 2023
Ironclad, the foremost digital contracting platform serving modern legal teams, has launched the beta version of Ironclad Contract AI (CAI), an innovative product set to redefine contract analysis. Also known as Ironclad CAI, this groundbreaking tool empowers users to conduct intricate contract analysis within their contract database through an intuitive chat interface. It introduces AI agents capable of managing complex multistep analyses by dividing tasks into subtasks, executing them, and assessing the outcomes to guide subsequent actions. Notably, Ironclad CAI stands as the sole legal product, providing users with complete transparency into the steps taken to reach a specific conclusion.
Ironclad CEO and co-founder Jason Boehmig commented,
Ironclad Contract AI is a game-changer for contracts, while conventional legal chatbots offer raw results that necessitate further lawyer analysis, CAI can sift through a repository of contracts and perform the reasoning required to answer nearly any contract-related inquiry. It not only provides answers but also reveals the logical path it followed. Unlike most generative AI, CAI is an open book.
[Source: PR Newswire]
Ironclad CAI streamlines contract analysis for organizations, allowing users to describe the contracts they seek or pose questions without the need for filters, advanced keyword logic, or extensive training. Fully integrated with Ironclad's comprehensive analytics platform, Insights, CAI generates charts to visually represent data for relevant queries. Users can pose a wide range of questions, such as:
"Has my contract workload increased recently?"
"What contracts are set for closure this quarter by the sales team?"
"Have we ever agreed to unlimited liability?"
Cai GoGwilt, Ironclad co-founder and Chief Architect, noted,
Contract analysts can spend months on contract review, a crucial yet time-consuming task. CAI can handle routine questions, such as identifying total contract values in a specific jurisdiction, but it can also tackle challenging, creative inquiries in minutes. For instance, our team asked CAI to justify a pay raise, and it not only comprehended the question but delivered a compelling argument based on contract turnaround times, TCV metrics, number of contract terms, and more.
[Source: PR Newswire]
Todd Berman, the CTO of SMS marketing platform Attentive, emphasized the game-changing nature of Rivet's visual programming environment. He highlighted its collaborative nature and visual interface, which he believes allows for the creation of complex AI chains in significantly less time than other environments. According to him, Rivet sets a new standard for prompt tools.
Ironclad also unveiled Rivet, an open-source visual programming environment designed for creating generative AI products. Rivet accelerates product development and offers step-by-step visibility into Ironclad CAI's process and analysis. Developers can collaborate on complex logic chains, test and iterate on products, and observe real-time execution, all within a remote environment. Rivet has garnered praise from early users and is now available to the public.
In addition to Ironclad CAI and Rivet, Ironclad announced several AI enhancements, updates, and upcoming releases aimed at streamlining contract uploads and data extraction:
- Import contracts via email: Contracts forwarded to a designated email address are automatically tagged, indexed, and stored in the repository using Ironclad's AI-powered Smart Import.
- Extract data from legacy contracts: Users can tag and extract metadata from previously uploaded contracts without Smart Import.
- Identify metadata discrepancies: Ironclad AI detects discrepancies between metadata and contract text, eliminating the need for manual tracking and comparison.
Ironclad places a strong emphasis on responsible AI use with a security framework that focuses on data governance, advanced user access management, and data encryption to protect privacy and security.
Ironclad is the premier contract lifecycle management platform for forward-thinking companies, facilitating billions of contracts annually. Notable innovators like L'Oréal, Salesforce, OpenAI, and others rely on Ironclad to streamline contract collaboration, accelerate contract processes while ensuring compliance, and transform contracts into vital sources of operational intelligence. It accommodates diverse contract workflows, from sales agreements and HR contracts to complex NDAs. In April, Ironclad earned a place on Forbes AI 50 2023 and was recognized as a Top Company to Bet Your Career On by Business Insider in 2023.
PR Newswire | September 27, 2023
unitQ, the leader in Quality Automation, today introduced unitQ GPT, a generative AI engine for measuring the quality of your products, services and experiences. unitQ GPT harnesses unitQ's proprietary AI models to extract meaning from support tickets, surveys, app reviews, social media posts and product engagement data to connect the dots between what users say and do.
unitQ is empowering its customers to ask even more complex questions and get clear, immediate answers from hundreds of millions of pieces of granularly categorized user insights that they can trust to make critical business decisions. With unitQ GPT, companies can learn directly from what users are sharing, across any feedback source in any language, inclusive of engagement data and user metadata like device type and payment tier — all in real-time.
To use unitQ GPT, just ask a question and get an answer:
For unitQ customers struggling with prioritizing tasks based on impact, unitQ GPT can answer questions including the following:
"How can I improve iOS user retention?"
"How should I prioritize my bug backlog based on revenue impact?"
"How can I reduce support tickets?"
For unitQ customers interested in identifying end user pain points, unitQ GPT can answer questions including the following:
"Did I introduce any new issues in my newest release?"
"What are the top feature requests related to search?"
"What are five quotes from users talking about their favorite features?"
Category leading companies like Bumble, a values-driven business that enables people to build healthy and equitable relationships through Kind Connections™, are delivering incredible experiences to their members by paying attention to what they like, dislike, and want more of with unitQ's AI-powered user insights.
"At Bumble, my team is focused on delivering the best possible customer experience to our members everyday. unitQ GPT will help us turn insights to action, so that we can have a larger impact on the business and better serve our members across the globe," said Cathleen Doorenbosch, VP of Customer Care, Bumble. "With unitQ GPT, we'll be able to identify trending support issues, spot new bugs, and see what's driving the sentiment of new product releases with an easy to use, conversational interface that queries member feedback in real time. This will transform the way we work across the company, from support to product to engineering."
unitQ GPT is democratizing access to AI user insights, allowing companies like DailyPay, the industry leader in on-demand pay, to deliver even higher quality experiences to their members. This means fewer bugs, better user interfaces, less support issues, and delivering on the product features members are asking for most.
At DailyPay, we are constantly innovating our product and identifying new ways to improve the experience for our valued users, said Darlene Miranda, VP and General Manager, Enterprise Product, DailyPay. unitQ GPT speaks to that mission with its accuracy, transparency, and ability to speed up the team's natural workflows. It feels like having an extended member of our team that can answer the most pressing questions to make every user's experience 10x better.
unitQ GPT is purpose-built to empower organizations to drive growth with AI user insights and is:
Easy to use: unitQ GPT leverages user feedback and engagement data from 60+ sources to answer critical business questions and provide supporting visualizations. With all teams leveraging the same user insights, going from hypothesis to resolution has never been faster.
Opinionated and actionable: Because unitQ GPT leverages our cleansed, translated and granularly categorized data, it deeply understands your business like a tenured employee. It can prioritize initiatives and suggest product improvements to optimize KPIs.
Built for transparency and security: unitQ supports its conclusions with citations, allowing you to verify insights in a single click. Trust extends deep into unitQ GPT's architecture, with enterprise-ready security and automatic redaction of all personally identifiable information.
"Our customers today rely on unitQ to distill insights from hundreds of millions of pieces of user feedback everyday. Our insights are informing roadmaps at Fortune 500 companies and have caught bugs and product quality issues impacting millions of users," said Christian Wiklund, CEO and Co-Founder of unitQ. "unitQ GPT is the next milestone in our product evolution. With unitQ GPT, our customers can access powerful, game changing information about their business and product by simply asking a question and getting an answer in seconds."
Early access to unitQ GPT beta is available today for unitQ customers. To learn more about unitQ GPT read the blog post or join the waitlist.
As the leading Quality Automation platform, unitQ empowers companies with AI-powered, actionable insights from user feedback to help them craft high-quality products, services and experiences. unitQ centralizes feedback from all sources and automatically groups it into thousands of granular categories to help organizations discover what matters most to users — all in real time. Category-leading companies like Spotify, Bumble, Pinterest, Udemy and HelloFresh rely on unitQ to drive growth, reduce churn and build brand loyalty.
With unitQ customer feedback software, you can discover quality issues at the same time as your users. Know what product launches, releases or evergreen features are causing the most bugs or support tickets. Drill into the root causes of these issues by source, platform, device, customer segment and more.
Anyscale | September 20, 2023
San Francisco-based AI infrastructure company Anyscale has unveiled a new service, Anyscale Endpoints, at Ray Summit 2023. The service enables application developers to seamlessly integrate open-source Large Language Models (LLMs) into their projects using popular LLM APIs. Anyscale claims that Endpoints is significantly more cost-effective than proprietary solutions, with costs up to 10 times lower for specific tasks.
Traditionally, developers faced challenges such as complex infrastructure, high compute costs, and time-consuming model development when working with open-source LLMs. Anyscale's Endpoints simplifies this process by offering easy API access to powerful GPUs at a competitive price, allowing developers to harness open-source LLM capabilities without the traditional complexity.
Robert Nishihara, the Co-Founder and CEO of Anyscale, reportedly mentioned that historically, obstacles such as infrastructure complexity, compute resources, and cost had limited AI application developers’ use of open-source LLMs.
The demand for generative AI and high-quality LLM applications is rapidly rising, with the generative AI market projected to grow from $40 billion in 2022 to $1.3 trillion over the next decade, according to Bloomberg Intelligence. Gartner notes the advantages of open-source models, including customizability, better deployment control, enhanced privacy and security, and the ability to leverage collaborative development.
Anyscale offers Endpoints at a competitive rate of $1 per million tokens for state-of-the-art open-source LLMs, making LLM services more accessible to application developers. Additionally, Anyscale can quickly add new models, ensuring users have access to the latest innovations from the open-source community.
Robert Nishihara, the Co-Founder and CEO of Anyscale, emphasized the significance of endpoints, stating,
With seamless access via a simple API to powerful GPUs at a market-leading price, Endpoints lets developers take advantage of open-source LLMs without the complexity of traditional ML infrastructure. As AI innovation continues to accelerate, Endpoints enables developers to harvest the latest developments of the open-source community and stay focused on what matters—building the next generation of AI applications.
[Source: Globe Newswire]
Furthermore, Anyscale offers the option to run and use the Endpoints service within the customer's existing AWS or GCP cloud accounts, improving security and enabling the reuse of security controls and policies. Customers can also upgrade to the full Anyscale AI Application Platform for more customization and control over their data, models, and app architecture.
Anyscale Endpoints integrates seamlessly with popular Python and machine learning libraries and frameworks, facilitating various use cases across different cloud platforms as AI applications evolve.
Early users of Anyscale Endpoints have reported significant benefits, such as faster service deployment and cost advantages over proprietary alternatives. Anyscale's new service aims to empower developers to leverage open-source LLMs for their AI applications while reducing complexity and costs.
Anyscale is a leading AI application platform founded by the creators of Ray, an open-source framework for scalable computing. Based in San Francisco, California, the company empowers developers of all skill levels to build, run, and scale AI applications with ease, from individual laptops to extensive data centers. Anyscale's mission is to simplify AI development by eliminating the need for distributed systems’ expertise, ensuring that every developer and team can succeed with AI. The company has gained traction in the industry, with organizations like Uber, OpenAI, Shopify, and Amazon using Ray for their machine learning platforms.