The data provided here about the EHS Management Solutions market accurately determines the performance investments over a period of time. It helps the businesses drive their financial goals to fulfillment. • Detailed information on key factors that are expected to drive EHS Management Solutions market growth during the next five to ten years is provided in the report. • Accurate market size estimates and the contribution of the parent market in the EHS Management Solutions market share and size. • A detailed analysis of the upcoming trends, opportunities, threats, risks, and changes of consumer behavior towards the products and services. • Demographics of growth in the EHS Management Solutions market across different countries in the geographical regions such as America, APAC, MEA, and Europe. • Information on the major vendors in the EHS Management Solutions market and competitive analysis. • Comprehensive details of the vendors that drive the EHS Management Solutions market. Geographical Segmentation and Competition Analysis – Europe (U.K., France, Germany, Spain, Italy, Central & Eastern Europe, CIS) – Asia Pacific (China, Japan, South Korea, ASEAN, India, Rest of Asia Pacific) – Middle East and Africa (Turkey, GCC, Rest of Middle East) Browse Full Report with Facts and Figures of EHS Management Solutions Market Report at @ https://www.orbisresearch.com/reports/index/ehs-management-solutions-market-global-analysis-2021-2028-insights-on-leading-players-type-applications-regions-and-future-opportunities?utm_source=PoojaA4 • Provides forecast trends for the year 2021-2027 for the EHS Management Solutions market. • Net profit gained by leading enterprises in particular segments is highlighted in the study. • To study growth and productivity of the EHS Management Solutions market companies. • Provides information on diversified ancillary activities involved in the EHS Management Solutions market. • The demand for local goods and services in the EHS Management Solutions market. • Public interventions regulating the EHS Management Solutions market. • The study highlights the difficulties faced by producers and consumers to market the products and services in the EHS Management Solutions industry. The report forecasts or predicts the future behavior or future trends of the EHS Management Solutions market based on its productivity and growth factors. Strategies adopted the leading players for effective utilization and modernization of their existing resources for maximum profits is briefed in the study. 1.3 Players Covered: Ranking by EHS Management Solutions Revenue 1.4.1 EHS Management Solutions Market Size Growth Rate by Type: 2020 VS 2028 1.5.1 EHS Management Solutions Market Share by Application: 2020 VS 2028 2.1 EHS Management Solutions Market Perspective (2015-2028) 2.2 more about the author EHS Management Solutions Growth Trends by Regions 2.2.1 EHS Management Solutions Market Size by Regions: 2015 VS 2020 VS 2028 2.2.2 EHS Management Solutions Historic Market Share by Regions (2015-2020) 2.2.3 EHS Management Solutions Forecasted Market Size by Regions (2021-2028) 2.3.5 EHS Management Solutions Market Growth Strategy 2.3.6 Primary Interviews with Key EHS Management Solutions Players (Opinion Leaders) Chapter Three: Competition Landscape by Key Players 3.1 Top EHS Management Solutions Players by Market Size 3.1.1 Top EHS Management Solutions Players by Revenue (2015-2020) 3.1.2 EHS Management Solutions Revenue Market Share by Players (2015-2020) 3.1.3 EHS Management Solutions Market Share by Company Type (Tier 1, Tier Chapter Two: and Tier 3) 3.2 EHS Management Solutions Market Concentration Ratio 3.2.1 EHS Management Solutions Market Concentration Ratio (CRChapter Five: and HHI) 3.2.2 Top Chapter Ten: and Top 5 Companies by EHS Management Solutions Revenue in 2020 3.3 EHS Management Solutions Key Players Head office and Area Served 3.4 Key Players EHS Management Solutions Product Solution and Service 3.5 Date of Enter into EHS Management Solutions Market 3.6 Mergers & Acquisitions, Expansion Plans Do You Have Any Query or Specific Requirement?

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The tongue of the Malaspina Glacier, the largest glacier in Alaska, fills most of this image. Interdisciplinary climate studies reflect agreement that systems and integrative analyses contain the keys to protecting the earth from climate catastrophe. Big Data tools improve knowledge integration, providing enhanced insight into both what is occurring and what will occur.  As predictive analytics models improve, innovators in this space are advocating for better access and ways to interpret climate data, which has historically been scattered and expensive. There are few sectors left untouched by the power of artificial intelligence (AI). For climate change issues, AI’s ability to collect and filter is proving to be a powerful tool. The Heat is on: Seeking Solutions for Climate Change Since the pre-industrial era, the average yearly surface temperature on earth has increased by two degrees . This small change in temperature results in major impacts from accumulated heat. Record-breaking or extreme temperatures, heavier rainfall, and reduced snow cover disrupt ecosystems.  The projected outcomes of unresolved climate change are grim:  In the United States, there will be an estimated 1.2% decline in annual GDP for every 1°C (33.8° F) rise in temperature. Failure to limit temperature rise by the Paris Agreement standards (1.5°C) could result in a real GDP per capita loss of about 7% by the year 2100. Extreme weather impacts 70% of all economic sectors worldwide. ICON Lands More Than $200 Million To 3D Print Homes, Ramps Up For NASA Mars And Moon Missions In 2020, climate-influenced weather damages amounted to $268 billion , only 64% of which were covered by insurance. The majority of businesses or individuals covered were in developed nations, like the U.S.  The race is on to find climate change solutions, and businesses and governments around the world feel the need for adaptation and resilience strategies.  Data as a way to mitigate climate change risk is an idea being championed by Siddhartha Jha, CEO of Arbol and Founding Partner of dClimate.      dClimate is a company at the cutting edge of data-based climate solutions. Sid expresses the role of climate data in this way: “Climate data is essential not just for helping businesses and governments proactively prepare for a variety of weather disasters, but for helping them build tools (like data-driven weather insurance, catastrophe models and analytics, etc.) that can help them better understand, manage, and build institutional resilience against these risks.” Businesses, governments, and markets alike rely on access to accurate climate data and forecasts to make strategic planning decisions: Shipping and logistics companies rely on hyperlocal weather forecasts to optimize routes. Construction companies need wind and rainfall forecasts to avoid delays. Governments use climate data to inform public policy decisions.  The development of assistance programs for regions most affected by climate and weather related disasters can be done in advance, if leaders have access to climate data. As severe weather events become more frequent, and climate variables change, the need for actionable climate intelligence will continue to rise. How Data (and AI Data Modeling) Can Mitigate Climate Change dClimate was founded by the same team as Arbol, a platform for parametric weather insurance which leverages machine learning and a unique AI underwriter to bring transparency and efficiency to the weather risk market. It is closely integrated with Chainlink , a leading decentralized oracle network, which facilitates support for automatic, decentralized data validation and dClimate’s governance layer. Consumers can shop for datasets based on “skill scores.” A decentralized autonomous organization (DAO) proposes and votes on the algorithms that determine skill scores, which holds the platform to a high standard of transparency. Sid describes the starting point and future goals of dClimate in this way, “dClimate starts with a strong base layer of over 1,000 terabytes of cleaned, standardized climate information, which has already been made available for free to data consumers via the network’s REST API.

https://www.forbes.com/sites/anniebrown/2021/08/24/can-ai-data-modeling-prevent-climate-catastrophe/