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This role is essential for someone who can make sense of environmental, social and governance (ESG) data, enabling a business to be fully transparent and mitigate negative impact across the value chain. According to the KPMG Survey of Sustainability Reporting 2020, as many as 80 per cent of companies worldwide report on sustainability.
Award-winning dataanalytics business Topolytics has been awarded £500,000 to build a prototype for a UK wide comprehensive waste tracking system. The system will monitor and analyse all waste transactions across the UK every year. The project is administered by DEFRA under the UK GovTech Catalyst programme.
While this is just a small step into the next era of vertical farming, the practice is helping farmers cut down growing times and reduce waste, according to IGS. . IGS doesn’t sell the produce itself; it’s a technology company and turnkey service for growers offering 24/7 maintenance support, dataanalytics and crop recipes.
AIs Role in EHS Management AI Augmenting EHS Teams: AI tools can automate tasks, improve data analysis, and enhance stakeholder engagement. Addressing EHS Pain Points: AI solutions tackle inefficiencies, such as excessive communication and time wasted on document retrieval.
DESCRIPTION: In the information age, data can be used to gain a deeper understanding of just about any metric you could dream up, and businesses in all sectors are becoming wise to the benefits of investing in data technologies.
Or consider Waste Management and MetLife , both of which debuted new digital ESG resource hubs in their latest reporting cycles to solve for searchability, ease of access and demonstration of comparable year-over-year data. Finally, let’s look at how a content strategy is helping reports better engage diverse audiences.
Just a few examples include: Using our Climate DataAnalytics Framework (CDAF) to help customers improve sustainability outcomes. This framework provides an end-to-end solution for government and commercial customers to manage, store, and analyze climate-related data. In 2022 alone, we achieved a 7.5%
million pounds of plastic waste. This includes utilizing dataanalytical capabilities such as 3M™ Clinical Risk Groupings and social drivers of health dataanalytics to assess health care delivery system performance. To date, 3M has reduced global water usage 10.7% and eliminated 19.7
With 50% of global plastic waste ending up in landfills and only 9% recycled, GR3N developed MADE , the Microwave Assisted DEpolymerization solution. thanks to a seamless incorporation of advanced dataanalytics techniques. If we want to overcome the scale of plastic waste, there are certain non-negotiables.
Real-time data and digital platforms allow SMBs to optimize routes, reduce packaging waste, and improve overall supply chain efficiency, which can minimize their carbon footprint. By integrating AI and dataanalytics, businesses can streamline their logistics operations, cut down on fuel consumption, and better manage resources.
Digitalization in manufacturing We are implementing digital solutions throughout our operations, including AI-powered prescriptive maintenance, smart sensors, advanced dataanalytics, robotization and automation to achieve resource efficiency. This enables efficient runnability and lower waste from our machines.
The LCA study showcases ingredient efficiency for the meal kits as exact ingredients are used and food waste is therefore considerably lower, reducing the impact on climate change. Using this technology to purchase the exact quantity of ingredients, enables a reduction in unnecessary food waste, which is key to lowering emissions.
Founded in 2011, Wattics enables energy and sustainability professionals to manage, monitor, and analyze energy, commodities, and related data from one dashboard, helping them improve their operations’ sustainability.
The app displays real-time performance via easy-to-understand project dashboards, providing event organizers with data-driven insights to accelerate actionable, measurable impact.
Our team helped develop and manages the Ports Drayage Truck Registry, managing registration and concession programs, supporting truck compliance inspection, and providing program dataanalytics. Providing clean, safe water supplies.
million metric tons of CO2e), cut production-related waste generated at our U.S. Crossett Mill in Crossett, Arkansas (Georgia-Pacific) In the U.S., since 2014, the company has reduced Greenhouse Gas (GHG) emissions by 17% (more than 4.5 facilities by 40% and invested $2.2B in energy efficiency projects at those facilities.
In particular, electronic design can support the development of clean energy systems, dataanalytics for environmental applications, and machine technology advancements that reduce carbon emissions. For example, Ericsson’s Smart 5G Factory reduced waste by 5%, saved 5% on energy costs, and increased overall energy efficiency by 24%.
Milk consumption increased 6% and waste declined 5%. Sasha Ilyukhin, Vice President Customer Service Operations - Americas, Tetra Pak, shared with Food Technology magazine how advances in technology such as connected sensors and dataanalytics can help food producers improve efficiency, quality and safety.
This optimal utilization ensures that resources are not wasted, reducing overall operational costs. Technological Integration DataAnalyticsData is the new gold in today’s digital age. Mobile fuel delivery services collect valuable data on consumer behavior, fuel consumption patterns, and route efficiencies.
Compounding this, many potential clients prefer to avoid thinking about or planning for negative events, and the perception that paying premiums feels like a waste if no claims are made further deters interest. They are also using dataanalytics and technology to better assess and manage risks, improving efficiency.
While its businesses have grown, Koch has experienced a 58% reduction in production-related waste since 2012—a total of 571 million pounds—according to EPA’s Toxics Release Inventory Report. Of the waste produced and reported to EPA at Koch facilities in 2020, 91% was recycled, recovered for energy, or treated—a total of 372 million pounds.
The Ray Highway” testbed is paving the way for a zero carbon, zero waste, zero death highway system to build a safer and more prosperous future for all. Geotab is advancing security, connecting commercial vehicles to the cloud and providing data-driven analytics to help customers better manage their fleets. About Geotab.
For example, AI-powered sensors and dataanalytics can monitor machinery performance, detect maintenance needs before they become critical, and reduce energy consumption during peak operational times. AI technologies are already helping companies cut waste, improve resource use, and lower their environmental impact.
Identifying potential areas of energy waste on the factory floor in a timely manner requires access to the underlying data, dataanalytics that derive insights from that data, and a dashboard that provides a single view of notifications and status on KPIs. Consuming more power than required (overloading).
Workforce development is another critical area of this part of the Strategy, offering scope for businesses to collaborate with vocational training centers to create green skills programs, focusing on sustainable farming, solar installation, waste management, etc.
Competitive pressures and regulatory scrutiny mean that business owners face an imperative to improve their energy efficiency, reduce carbon emissions and minimize waste. Remote monitoring can be used to track the baseline health and condition of systems, assisted by dataanalytics to unearth critical insights about system performance.
Microsoft Azure is, of course, best-of-breed for Microsoft products, and GCP emphasizes dataanalytics. With IWO, you can engineer waste out of multi-cloud operations to take advantage of a multi-cloud strategy. For example, AWS is the biggest player on the market with the greatest breadth of features and capabilities.
This evolution also offers enormous opportunities in the context of waste management and reuse, as well as prevention and management of contaminated sites. AI and ML, combined with ‘big data’ analytics, will drive ‘precision remediation’, which can deal with the complexity of contamination (particularly mixtures) and heterogeneity of sites.
This analytical method can be applied to any resource, such as energy, waste, or water, and allows users to assess the payback of projects and compare energy forecasts to actual savings. Flexible, real-time analytics provide accurate GHG emissions calculations.
Going beyond recognizing patterns and taking the appropriate actions to improve a situation, the development of dataanalytics in combination with the data collected by cameras and sensors could make it possible to identify “near misses”. Sensors play an equally critical role in the waste sector.
Todd Hartmann, Senior Director, Product Management, at FactSet, said the inclusion of GoldenSource ESG Impact on the marketplace would give investment professionals the “opportunity to take advantage of a centralised data tool for a whole portfolio view when undertaking ESG dataanalytics and reporting”.
The IoT market’s exponential growth, fuelled by advancements in connectivity, sensor technologies and dataanalytics, underscores the critical importance of sustainable power solutions. Despite efforts to recycle batteries, the process remains inefficient and often results in hazardous waste.
Additional commitments include continuing to incorporate circular economy principles into TD SYNNEX’s product life cycle management strategy by partnering with stakeholders to minimize waste through repair, refurbishment and recycling.
The research – ‘ Decarbonisation through Digitalisation’ – seems to show that manufacturing businesses are investing in digital technologies more than ever before and reaping multiple benefits, including productivity increases, product improvements, reduction in waste and labour efficiencies.
The World Economic Forum believes there’s enormous scope to reduce those figures, by harnessing the power of digital technologies, including advanced algorithms, artificial intelligence and dataanalytics.
Going beyond recognizing patterns and taking the appropriate actions to improve a situation, the development of dataanalytics in combination with the data collected by cameras and sensors could make it possible to identify “near misses”. Sensors play an equally critical role in the waste sector.
Going beyond recognizing patterns and taking the appropriate actions to improve a situation, the development of dataanalytics in combination with the data collected by cameras and sensors could make it possible to identify “near misses”. Sensors play an equally critical role in the waste sector.
This type of dataanalytics could help many cities to reach their sustainability goals by 2030 – with the use of sensors integral to achieving this mission. No matter if it’s waste, natural disasters or pollution, sensors are already of great help to making cities safer and more sustainable. Multiple devices to prevent issues.
Flexible, real-time analytics provide accurate GHG emissions calculations, whenever they’re needed. Emission factor calculations are created within our business intelligence tool with high-performance technology based on big dataanalytics.
This type of dataanalytics could help many cities to reach their sustainability goals by 2030 – with the use of sensors integral to achieving this mission. No matter if it’s waste, natural disasters or pollution, sensors are already of great help to making cities safer and more sustainable.
This type of dataanalytics could help many cities to reach their sustainability goals by 2030 – with the use of sensors integral to achieving this mission. No matter if it’s waste, natural disasters or pollution, sensors are already of great help to making cities safer and more sustainable. Multiple devices to prevent issues.
This speaks to the growing trend of precision agriculture, which is mostly about leveraging dataanalytics and cloud-based tools. Then lastly, management.
Using artificial intelligence (AI) could help, by giving the café a way to use its own data to make smarter, more efficient business decisions. For example, by analyzing how many sandwiches are sold per day, it could eliminate waste by buying only as much as bread as is needed that day.
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