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Annual 2024 Home Care 100 Gathering: Exploring New Frontiers

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Home Care 100’s June gathering served as a critical platform for advancing dialogue around growth, payer relationships and new technology.

DANA POINT, Calif., June 13, 2024 /PRNewswire/ — Leaders from across home-based care, including CEOs from the largest operators in the country, policy insiders, private equity, payers and leading-edge product/service companies came together at Home Care 100 produced by Lincoln Healthcare Leadership last week to connect across diverse viewpoints on key issues impacting the future of the sector and develop critical partnerships. 

Attendees advanced ideas and initiatives to uncover new growth opportunities, close the gap between payer expectations and the reality on the ground for care providers, and examine emerging technologies. 

Building on momentum from Home Care 100’s January 2024 gathering, a highly curated schedule of 18 sessions took place over three days, facilitating dialogue, debate and alignment across many perspectives, and serving as a launching pad for the second half of the year. 

A Call for Boldness

The most easily actionable strategies for growth, and those favored by both the current tight investment market as well as payers, are organic and based on expanding wraparound services in areas adjacent to where organizations have already demonstrated success. But, bigger, bolder visions were also shared.

“If what you are doing in your box isn’t working, find a new box. As an industry we need to continue to innovate, harvest data and be a greater part of the continuum of care with payer sources,” said Todd Houghton, President of Homewatch CareGivers.

Scott Powers, CEO of Elara Caring, shared a game-changing vision for the future of home healthcare by unveiling his company’s ambitious goal: within two years, their clinicians will spend 80% of their day providing care, up from 50% today. This is not just a bold target, it’s a commitment to reshaping the industry through innovation, and putting the needs of caregivers and patients front and center.

Data, Data and More Data

Leveraging data, operators’ most critical and under-utilized asset, to enhance efficiency, improve payer negotiations and evaluate growth opportunities formed the backbone of most discussions. Even when talks veered away from the dollars and cents of growth and toward the larger issues of policy and lobbying, knowing the best way to leverage data remained imperative.

“Plans have all the data, and they don’t all share. You have to put it in your contract that they have to share the data otherwise you won’t be able to show any value,” said Dan Savitt, CEO of VNS Health. 

The Middle Market Takes Center Stage

With heavy application of virtual technologies and a pioneering approach, providers are finding success in the large middle market, a cohort that will only expand in the coming decades. Serving this often over-looked population in great need of affordable personal care is inspiring, and so are the business results: realizing efficiencies in workforce deployment and generating additional value for partners through predictive tools.

Utilizing technology to alleviate cases of isolation and improve mental health of elderly clients was identified as critical to this strategy, as was the importance of having an appropriate technology equation to reduce the time burden of staff. 

“Being more flexible in the way we deliver care is the future,” said Peter Ross, CEO & Co-Founder of Senior Helpers, who spoke on the panel. Senior Helpers has created a powerful middle market program that incorporates virtual tech bills not by the hour but by type of service provided.

Keys to Success with Payers

With an underlying reminder to take care of the patient, not the payer, there was critical dialogue on reimbursement models and payer relationships, including mastering their data-driven language and leveraging staff performance bonuses to unlock value-based payments, while counting towards CMS’ new 80/20 rule for direct care worker compensation.

A slight majority at Home Care 100 saw the rule as a threat but many were optimistic about their ability to respond while making it clear there was no need for the government to dictate profit margins.

When it comes to the transformation required to take on full risk, “you need mindset changes in your technical, people and financial strategies,” said Paola Bianchi Delp, President & Chief Business Development Officer, CareNu. “You have to find partners that can take you where you want to go.”

Technology and Advancements in AI

Lack of interoperability and integration with existing platforms remains a significant impediment to greater and more successful penetration of tech-enabled solutions in home care, but the promise of generative AI is boundless, and a “superpower” that can significantly benefit caregivers, both in the field and with their job satisfaction. 

During a series of sessions addressing new technology, operators made the case that an open mind is needed given the major opportunity for great productivity gains. Many operators shared the innovative ways they are using AI to support back office needs, and some have groups focused solely on this area. 

Healthcare technology expert, Dr. Indu Subaiya pointed Home Care 100 attendees to the most promising current and emerging applications, drawing from the greater healthcare sector where integration is rapidly taking hold and setting the stage for similar progress in home-based care.

While many promising new players are entering the market, Home Care 100’s community of leaders can play a key role in spurring more development, and shaping the direction of the technology, by partnering with entrepreneurs willing to take on at-risk arrangements to gain traction in the space.

“Be willing to take certain risks as we move forward. You need to try new things in tech that might scare you but are worthy of your attention and research,” said Jeff Salter, Founder & CEO of Caring Senior Service. Jeff has incorporated new technologies designed to enhance the client experience, even when the caregiver is not there. 

Remember Our Foundation: Caregivers

Whether the business objective is revenue growth, better margins, or enhanced efficiency, and whether the lever pulled is in technology, service line expansion, lobbying or payer contracts, the end result matters most: high quality care and retaining the right caregiver staff to deliver it. Investment in technology or new growth initiatives cannot succeed without diligent investment into our people. 

“Caregivers fuel our growth and are our foundation” was a powerful reminder from Scott Powers of Elara Caring. 

Caregiver retention remained a critical focus area for the space with operators sharing the top reasons their agencies are losing staff, and ways they are combatting turnover.

“Engaging and retaining our workforce is not just about numbers. It’s about nurturing a supportive environment where every caregiver feels valued and empowered,” said Marshalina Ramos, President & COO, Premier Home Health Care Services.

Speaking on Home Care 100’s role in advancing care delivery in the home, Jeanette Lynn, Managing Director, said: “When we look at the biggest areas of growth and innovation in healthcare over the past few years, so many include a home-based component. When you combine more value, more models, more investors and more competition, it’s clear the future of home care will look very different than it does in this moment. We are committed to delivering a vital platform that not only clarifies the future for our leadership community but ensures they get there successfully.” 

For more information on Home Care 100’s annual gatherings, please visit: homecare100.com. 

Contact:
Siri Wheeler
swheeler@lincolnhc.com

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SOURCE Lincoln Healthcare Leadership

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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View original content:https://www.prnewswire.co.uk/news-releases/jams-launches-ai-for-enterprise-job-scheduling-jax-and-jams-mcp-on-the-model-you-choose-302833908.html

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Video: CNPC offers green chemical answer

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/video-cnpc-offers-green-chemical-answer-302834036.html

SOURCE chinadaily.com.cn

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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