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.
Celigo | September 07, 2023
Celigo, an integration platform as a service (iPaaS) provider for both business and IT users, has unveiled Celigo AI, a game-changing suite of embedded artificial intelligence (AI) functionalities aimed at revolutionizing enterprise integrations and automations. With a visionary approach to AI integration, Celigo seeks to empower organizations to boost end-user efficiency, ramp up productivity, and expedite the realization of value from their integrations and automation initiatives.
The innovation marks Celigo as the sole iPaaS platform to leverage AI for real-time operations, automating the detection and resolution of data and API errors. Moreover, Celigo introduces an AI-guided flow builder that brings the formidable capabilities of generative AI into the realm of business process automation, all within a single, seamless platform.
Jan Arendtsz, Celigo's Founder and CEO, emphasized,
The company's steadfast commitment to embedding AI at the core of their platform. We have been deliberate in our approach to embedding AI deeply within the Celigo platform, and we are utilizing these capabilities to provide enterprises with an integration and automation solution that reduces barriers to adoption and delivers maximum value to their business at the lowest possible cost of ownership."
(Source - Businesswire)
Celigo's suite of embedded AI functionalities offers a multifaceted solution to common integration challenges:
• AI Error Management: One of the most resource-intensive aspects of integration platforms is error resolution. Celigo's AI Error Management categorizes errors from any API and deploys auto-recovery policies to take action based on the error category. It also automatically resolves historical errors once it detects that the original error condition no longer exists. This innovative model, unique to Celigo, boasts an impressive track record, automatically resolving a staggering 95% of the 500 million integration flow errors each month. This optimization of run-time management allows Celigo customers to collectively save an average of 52,000 hours per week and eliminates the need for experienced developers to manually handle API and data errors.
• OpenAI Connector: Celigo empowers its customers to tap into the transformative potential of generative AI through prebuilt connectivity to OpenAI.This integration provides a competitive edge by infusing OpenAI into integration flows, elevating the level of intelligence in automation processes. End users can leverage this capability to extract data from multiple sources and feed it to OpenAI for training custom GPT bots, generating images, or summarizing information as a step within any workflow.
• AI Assistance: To expedite the development of new automations and bridge knowledge gaps, Celigo embeds AI guidance throughout its platform. Users can access expert help via an answerbot trained on millions of successful integrations and Celigo's extensive knowledge base. This democratizes automation development by enabling a broader user base to create new automations with the confidence of employing proven best practices.
Celigo's forward-thinking approach to AI integration positions the company as a provider of solutions that anticipate user needs and empower them with the tools to unlock the full potential of integration. The company has plans for continued AI innovation in iPaaS, with upcoming releases in the pipeline.
In Celigo's iPaaS, AI-driven integration presents challenges, such as the risk of relying too much on automation, complex implementation that could lead to delays and higher costs, the need for strong data security measures, relying on vendor support for maintenance, high initial costs, accuracy problems, and the possibility of not understanding how integration processes work.
Mitigating these drawbacks necessitates a balanced approach, combining automation with human oversight, investment in training, robust security measures, regular effectiveness assessments, and prudent management of integration solutions.
Celigo, a leading provider of AI-driven integration platforms as a service (iPaaS), specializes in streamlining integration for organizations of all sizes. Its platform serves both technical teams and line-of-business users, fostering automation company-wide and supporting scalable growth and innovation. The Celigo platform delivers comprehensive iPaaS solutions that empower organizations to automate standard and tailored business processes, enhancing agility and driving innovation across iPaaS, SaaS, e-commerce, marketplaces, cloud applications, integration, automation, business process automation, and digital transformation domains.
Docupace | September 22, 2023
Docupace Technologies, renowned for its cloud-based fintech solutions tailored to the wealth management sector, has introduced the Developer Portal, a comprehensive hub designed to empower developers. It serves as a one-stop shop for developers to access and utilize Docupace's APIs and associated developer resources. It is set to facilitate innovation and collaboration within the financial technology industry.
The Developer Portal provides an extensive array of resources, including detailed API documentation, tutorials, widgets, and practical examples. Developers can also perform tasks such as creating accounts, generating API keys, and testing their applications with Docupace's live APIs through this portal.
Liz Pavlik, Executive of Product Management for Docupace, reportedly expressed excitement, stating,
We are excited to launch our Developer Portal and make it easier for developers to build innovative solutions using our APIs. Our goal is to provide developers with the resources they need to be successful, and we believe the Developer Portal will play a key role in achieving that goal.
[Source – Cision PR Newswire]
Key features of the Docupace API Developer Portal:
Comprehensive Documentation: In-depth insights into each API, including usage instructions, endpoints, parameters, authentication methods, and response formats.
Tutorials and Examples: Resources to assist developers in getting started with Docupace's APIs
Self-Service Account Management: Developers can create accounts, generate API keys, and manage subscriptions within the portal.
Live API Testing: A platform for developers to test their applications against live APIs
Interactive Code Samples: Real-world code samples in multiple programming languages to aid integration with the Docupace Platform.
Robust Testing Environment: Controlled sandbox environment for efficient code validation and troubleshooting.
Community Collaboration: A platform for developers to discuss, share knowledge, and collaborate on projects
Matt Fields, Vice President of Research and Development at Docupace, affirmed the company's commitment to ongoing development and encouraged developers to provide feedback and suggestions through the portal's AI chatbot.
Docupace, headquartered in Los Angeles, California, is a leading digital operations technology provider specializing in streamlining and digitizing processes for wealth management firms. Its secure, cloud-based Docupace Platform offers solutions for client onboarding, document management, advisor transitions, cybersecurity, and regulatory compliance. With a focus on efficiency and compliance, Docupace serves a diverse range of financial firms, including some of the industry's largest players. Its expertise lies in web-based solutions, imaging, workflow management, and SaaS offerings, making them a valuable partner for financial services organizations seeking operational enhancements.
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.