Connect with us

Technology

Ninety-Nine Percent of Business Leaders Have Concerns About the Trustworthiness of Internal Data, Says New Global Research from TeamViewer

Published

on

Study identifies need for seamless technology connectivity to improve trust in data, financial performance and cyber defense

CLEARWATER, Fla., Sept. 11, 2024 /CNW/ —  Concerns about the trustworthiness of internal data exist in nearly all organizations globally according to “The Real Value of Technology Connectivity” report released today by TeamViewer, a leading global provider of remote connectivity and workplace digitalization solutions. Ninety-nine percent of business leaders pointed to factors undermining trust in internal data, citing multiple versions of the truth (38%), conflicting data management practices (32%) and too many instances of poor hardware reliability (31%) as top reasons for mistrust.

Interestingly this mistrust of internal data varies across company size. It is more likely to be driven by lack of data literacy in smaller organizations. Forty percent of respondents working for companies generating US $10 million – US $49.99 million in yearly revenue report a lack of data literacy among employees, compared to 21% of companies generating US $10 billion and above.

The global research study also found that only 5% of business leaders believe they have seamless technology connectivity across their organizations, identifying a huge opportunity to close the connectivity gap to not only gain internal trust in data, but to also enhance nearly all areas of the business from innovation to HR.

When asked how seamless technology connectivity could help their organization:

80% of respondents state is allows for better customer interactions and increases customer satisfaction81% say it enables better innovation82% believe it allows more time for considered decision making86% consider it an important aspect of working at their company increasing talent retention

Technology Connectivity = Industry Leadership & Cyber Defense

The research also uncovered a correlation between excellent connectivity and industry leadership, with 33% of business leaders at organizations with excellent technology connectivity saying their financial performance is among the leaders in their industry. Just 16% of business leaders with good connectivity say the same. In addition, 61% say that excellent technology connectivity gives them a competitive edge.

Further, 34% of businesses with excellent connectivity say their operational performance is on par with industry leaders but only 19% with good connectivity say this is the case. Seamless technology connectivity, the extent to which staff can operate and connect without interruptions, and what all businesses should be aiming for, also increases resilience and supports risk management. In particular, better connectivity helps organizations to withstand the growing threat of cyberattacks. 38% of those with excellent connectivity, those one step below achieving seamless connectivity, are among the leaders in their sector for cybersecurity performance, compared to 22% of those with good connectivity.

“It’s clear from the research that connectivity isn’t just about driving workforce productivity and efficiencies. The approach of shifting connectivity from a supporting role and cost centre to one that empowers the business has an impact on growth, and ultimately revenue. Fragmented systems blunt competitive advantage so just being good is not good enough when it comes to connectivity. Businesses need seamless integration and harmonization of data to fully realise the opportunities that technologies like augmented reality (AR) and artificial intelligence (AI) bring,” said Mei Dent, chief product and technology officer, TeamViewer.   

What is holding organizations back?

Organizations with gaps in connectivity (those who say they have good connectivity but not excellent or seamless) are more likely to be held back by differences between departments within their organization (30%) and the inability to show the ROI of tech connectivity (27%). Whereas those who say they have excellent connectivity are most likely to be held back by concerns about cybersecurity (24%). So, cybersecurity is both a benefit and a hindrance to better connectivity.

A company’s ability to connect to any device, application and system in its infrastructure, and to make use of existing data, has an outsized influence on performance. Whether it is smarter logistics operations or remote technical guidance, access to knowledge from any device, at any time, helps people work smarter and reduces the mistrust that there are multiple versions of truth in data.

Dent continued, “There is a long way to go for companies to achieve seamless connectivity, but the benefits far outweigh the initial investment of time and resources. Doing nothing also has a cost. With many struggling with increased competition and a lack of skilled labour available, organizations need to do all they can to attract and retain the best talent. And one way to do this is to offer a working environment with integrated systems and connectivity that makes it a great place to work and thrive in their careers.”

Research Methodology

The research was conducted by FT Longitude between March and April 2024. 500 business leaders across six countries took part: Australia, Canada, Japan, Germany, United Kingdom and the United States. Business leaders represented enterprises from the automotive, industrial manufacturing, IT, logistics, transport & distribution, financial services, retail, public sector and utilities industries.

About TeamViewer

TeamViewer is a leading global technology company that provides a connectivity platform to remotely access, control, manage, monitor, and repair devices of any kind – from laptops and mobile phones to industrial machines and robots. Although TeamViewer is free of charge for private use, it has around 640,000 subscribers and enables companies of all sizes and from all industries to digitalize their business-critical processes through seamless connectivity. Against the backdrop of global megatrends like device proliferation, automation and new work, TeamViewer proactively shapes digital transformation and continuously innovates in the fields of Augmented Reality, Internet of Things and Artificial Intelligence. Since the company’s foundation in 2005, TeamViewer’s software has been installed on more than 2.5 billion devices around the world. The company is headquartered in Goppingen, Germany, and employs more than 1,500 people globally. In 2023, TeamViewer achieved a revenue of around EUR 627 million. TeamViewer SE (TMV) is listed at Frankfurt Stock Exchange and belongs to the MDAX. Further information can be found at  https://www.teamviewer.com/

 

Photo: https://mma.prnewswire.com/media/2500228/TeamViewer.jpg
Logo:  https://mma.prnewswire.com/media/2042102/TeamViewer_Logo.jpg

View original content to download multimedia:https://www.prnewswire.com/news-releases/ninety-nine-percent-of-business-leaders-have-concerns-about-the-trustworthiness-of-internal-data-says-new-global-research-from-teamviewer-302243219.html

SOURCE TeamViewer

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Technology

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

Published

on

By

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

 

 

Logo – https://mma.prnewswire.com/media/3007577/JAMS_logo.jpg
Photo – https://mma.prnewswire.com/media/3007578/jams_jax_ai_agent_job_scheduling_1.jpg
Photo – https://mma.prnewswire.com/media/3007579/jams_jax_mcp_ai_control_model.jpg
Photo – https://mma.prnewswire.com/media/3007580/jams_mcp_ai_connector_claude_cursor.jpg

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

Continue Reading

Technology

Video: CNPC offers green chemical answer

Published

on

By

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

Continue Reading

Technology

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

Published

on

By

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

Continue Reading

Trending