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.
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.
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.
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.