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.
Double | September 18, 2023
Double, the versatile remote assistant service designed to cater to the needs of executives, has recently introduced Mingo. Mingo, an AI-powered delegation companion, is tailored for the hectic schedules of executives and their remote assistants. Leveraging cutting-edge AI technology, Mingo ensures that crucial tasks are recorded, distills essential details from requests, and offers suggestions for the next steps to be taken by the assistant. With Mingo in their toolkit, executives utilizing Double can allocate their focus and energy to critical bottom-line responsibilities, knowing that their assistants possess all the requisite information to execute delegated tasks with precision.
Mingo's debut comes at a moment when a staggering three out of four executives grapple with heavy workloads and an acute shortage of time to tackle top hurdles in their professional duties. While productivity applications and recently launched AI assistant services are available, they often fall short of providing the personalized attention, contextual understanding, and nuanced support that executives typically receive from human assistants. Double aims to bridge this gap with its AI-enabled executive assistant approach, empowering executives to enhance their productivity and significantly impact their work hours.
Even the most skilled executive assistants, along with well-intentioned executives, occasionally contend with vague task parameters, resulting in multiple follow-up discussions that impede efficient execution. Recognizing this common challenge, Double developed Mingo to streamline communication and maximize productivity. Mingo's intuitive, always-online AI technology operates in real-time to gather task details, facilitating seamless hand-offs to executive assistants. The platform proactively prompts executives with clarifying follow-up questions, enabling them to anticipate needs in advance and safeguard their precious time by reducing unnecessary back-and-forth exchanges.
Beyond its benefits for executives, Mingo also elevates productivity for their assistants. Once an executive submits a request through the Double app, Mingo proactively generates suggested next steps and recommendations, bolstering the efficiency of executive assistants across all tasks. Mingo achieves this feat by drawing from a comprehensive knowledge base encompassing best practices and how-tos related to various executive assistant tasks, amassed from decades of combined expertise in productivity and delegation. Mingo can even expedite an executive assistant's work by offering research assistance, writing support, and insights on harnessing AI more effectively in their tasks.
Double's innovative solutions empower executives and their assistants to achieve more without compromising their work-life balance or risking burnout. The company has recently expanded its offerings to cater to entire leadership teams through its Double for Teams program. Double remains dedicated to delivering new products and services that prioritize human-centric support, further cementing its commitment to revolutionizing the future of work.
Double, based in Brooklyn, NY, is a flexible remote assistant service designed to address the evolving demands of the contemporary work landscape. Committed to its mission of reclaiming valuable time for clients, the company combines the power of human support, cutting-edge technology, and efficient delegation strategies to streamline daily tasks. With a growing clientele comprising nearly a thousand customers spanning the United States and France, it caters to businesses of all sizes. To date, Double's dedicated team of executive assistants has successfully reclaimed over 250,000 hours for busy executives, marking the company as a driving force in reshaping modern work dynamics.
Forethought | September 25, 2023
Forethought, a leader in generative AI for customer support, has introduced Autoflows, a groundbreaking autonomous resolution capability for SupportGPT. This innovation marks a significant step towards a more efficient, goal-oriented, AI-centric future in customer support.
In the fast-evolving landscape of customer support, AI is positioned to revolutionize the way businesses interact with their clients. However, many large enterprises, despite claiming to be AI-first, still rely on outdated manual workflows rooted in the CRM era. These workflows consume hours of valuable time and often lead to subpar performance, dissatisfied customers, and delayed value realization. Forethought aims to transform this outdated approach into a system of intelligence, redefining what it means to be truly AI-first.
Deon Nicholas, CEO and Co-Founder of Forethought, reportedly emphasized,
Automation over the past decade has focused heavily on rules and tasks and building manual workflows. But the manual workflow is the Achilles heel of the AI-first future.
[Source – Businesswire]
Autoflows empower customer support leaders to define desired issue resolutions in plain, natural language, eliminating the need for complex decision trees or predefined rulesets. Leveraging AI, Autoflows accurately predicts user needs and determines efficient steps to achieve these desired outcomes. This efficiency allows support agents to redirect their focus towards more complex issues, transcending simplistic task-oriented processes.
Autoflows promise significant benefits:
Enhanced Customer Experience: Autoflows facilitate natural conversations with customers, employing generative AI models trained on real agent responses and CRM data.
Improved Performance: These flows autonomously resolve customer issues and take actions in alignment with agent guidelines, brand preferences, and user prompts.
Reduced Time to Value: Autoflows can be created in minutes using natural language, a stark contrast to the days it typically takes to construct intricate decision trees.
Brent Pliskow, GM & VP of Customer Support at Upwork, expressed his appreciation for the innovation. He mentioned that they are constantly seeking to incorporate new generative AI capabilities into their customer support processes, with the goal of improving the customer experience and enhancing internal efficiency. He noted that, when they replaced specific manual workflows with Autoflows, they observed significant time savings compared to the traditional approach of building workflows. Additionally, he reported an increase of up to 27% in customer satisfaction in these particular use cases.
Founded in 2018, Forethought is a prominent generative AI company specializing in customer service automation. Its solutions seamlessly integrate generative AI powered by large language models (LLMs) to enhance support team efficiency. It offers instant case resolution, predictive case prioritization, and agent assistance, all within a single platform. With $90 million in venture capital funding and accolades like G2's Best Software Products for 2023, Forethought is a leader in the tech industry, headquartered in San Francisco, California.
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.