DALLAS–(BUSINESS WIRE)–Rancher’s Premium Smokehouse is going bigger at Sam’s Club. The fastest growing national sausage brand in the country is debuting its exclusive Brisket Cheddar Rope Sausage at Sam’s Club. A 36-ounce smoked sausage is hitting Sam’s Club locations across the country beginning in October. The launch marks two milestones for Rancher’s: its first-ever rope sausage and a brand-new flavor. Building on the rapid success of its signature smoked sausage links, Rancher’s is taking
Author: sHq_LoGiNz
カリフォルニア州ロング・ビーチ–(BUSINESS WIRE)–（ビジネスワイヤ） — インテリジェントなコンテンツ管理とビジネス・プロセス自動化の分野をリードするSaaSプロバイダーであるレーザーフィッシュは、ギャレット・ボスを最高情報責任者（CIO）に任命したと発表しました。ボスは、レーザーフィッシュのグローバルITサービス・チームおよびビジネス変革部門を統括し、社内向けLaserficheソリューションおよびその他すべての全社ITシステムの導入も監督します。また、ボスはこの役職で、ガバナンス、リスク、コンプライアンスも統括し、顧客が頼りにする重要なコンテンツおよびライフサイクル・ツールを保護しながら、AIイノベーションを拡大するというレーザーフィッシュの使命を支えます。 レーザーフィッシュの最高経営責任者（CEO）であるカール・チャンは、次のように述べました。「当社の技術インフラとセキュリティー態勢は、卓越した製品と顧客のニーズに迅速に対応するサービスを提供するうえで中核をなしています。ギャレットは、グローバルなIT・ガバナンス部門を率い、その規模拡大とイノベーションの加
لونغ بيتش، كاليفورنيا–(BUSINESS WIRE)–أعلنت Laserfiche، المزود الرائد لحلول إدارة المحتوى الذكية وأتمتة العمليات التجارية القائمة على البرمجيات كخدمة (SaaS)، اليوم عن تعيين Garrett Boss في منصب الرئيس التنفيذي للمعلومات (CIO). وسيتولى Boss الإشراف على فريق خدمات تكنولوجيا المعلومات العالمي في Laserfiche ومكتب التحول المؤسسي، بما يشمل نشر حلول Laserfiche الداخلية وإدارة جميع أنظمة تكنولوجيا المعلومات الأخرى على مستوى المؤسسة. وفي هذا المنصب، سيتولى أيضًا الإشراف على منظومة الحوكمة وإدارة المخاط
加州，長灘–(BUSINESS WIRE)–(美國商業資訊)– 智慧內容管理與業務流程自動化的頂尖SaaS供應商Laserfiche今天宣布任命Garrett Boss為資訊長。Boss將負責監督Laserfiche的全球資訊科技服務團隊與業務轉型辦公室，包括佈署Laserfiche內部解決方案以及全企業內的其他所有資訊科技系統。他還將在這份職務上監察治理、風險與合規等工作，協助Laserfiche達成擴大人工智慧創新的使命，同時保護客戶依賴的關鍵內容及生命週期工具。 「Laserfiche自身的技術基礎設施與安全態勢，是提供優秀產品及回應服務的根本。」執行長Karl Chan說，「Garrett是一位有口皆碑的領導者，曾經帶領全球資訊科技與治理團隊擴大發展、加速創新，表現傑出。我相信Laserfiche在他的領導下，塑造本公司未來平台的過程必能穩步前進。」 Boss擅長配合業務成果執行數位轉型，在這方面累積了20多年的豐富經驗。在接下這份職務之前，他擔任FOX Corporation的企業與資料平台執行副總裁，在FOX各類應用組合中整合智慧代理工作流程，加速產品更新與推出新功能
美国加利福尼亚州长滩–(BUSINESS WIRE)–(美国商业资讯)– 领先的智能内容管理及业务流程自动化 SaaS 提供商 Laserfiche 今日宣布，任命 Garrett Boss 为首席信息官。Boss 将负责领导 Laserfiche 的全球 IT 服务团队和业务转型办公室，统筹内部 Laserfiche 解决方案及其他所有企业级 IT 系统的部署工作。其职责还包括监督治理、风险与合规事务，支持 Laserfiche 在保障客户所依赖的关键内容和生命周期工具安全的同时，推动 AI 创新的规模化发展。 Laserfiche 首席执行官 Karl Chan 表示：“Laserfiche 自身的技术基础设施和安全状况，是我们提供卓越产品和高响应度服务的重要基础。Garrett 是一位经验卓著的领导者，在带领全球 IT 与治理团队实现规模化发展、加快创新步伐方面拥有出色的往绩。我相信，他的领导力将助力 Laserfiche 在塑造平台未来的道路上不断前行。” Boss 在将数字化转型举措与业务成果紧密结合方面拥有逾 20 年经验。最近，他担任 FOX Corporation
MCLEAN, Va.–(BUSINESS WIRE)–Physical mobility has long been associated with economic opportunity. New national survey data from Capital One Auto released today offers fresh insights into consumer perceptions of that connection—including a self-reported average of ~$21,000 in additional annual earning potential among adults lacking consistent vehicle access, alongside a 70% consumer demand for more guidance to help navigate today’s auto market. Designed to examine how physical mobility directl
CONSHOHOCKEN, Pa.–(BUSINESS WIRE)–Boomi, the data activation company for AI, today announced it has been recognized as a Leader in the 2026 Gartner® Magic Quadrant™ for API Management. We believe the recognition reflects Boomi’s sustained investment in Boomi API Management as the governance layer enterprises use to turn fragmented APIs into a trusted foundation for AI. Our Key Takeaways Boomi has been recognized as a Leader in the 2026 Gartner® Magic Quadrant™ for API Management. A compliment
نيويورك–(BUSINESS WIRE)–ارتفع متوسط إجمالي تعويضات الرؤساء التنفيذيين الممنوحة في شركات S&P 500 بأكثر من 8% خلال عام 2025، ليصل إلى 18.2 مليون دولار، في حين سجلت المكافآت النقدية عند التعيين للرؤساء التنفيذيين الجدد أعلى مستوياتها خلال ست سنوات، وفقًا لتقرير تعويضات الرؤساء التنفيذيين في 2026 الصادر عن Diligent Market Intelligence.وتشير النتائج إلى بيئة أكثر تعقيدًا بالنسبة لمجالس الإدارة فيما يتعلق بالتعويضات، في ظل تراجع المعروض من الكفاءات القيادية، وارتفاع تكلفة انتقالات الرؤساء التنفي
Previously published by the World Economic Forum
Sophia Mendelsohn, Chief Sustainability and Commercial Officer, SAP
- While the once-popular environmental, social and governance metrics of 2021 have gone out of favour and been deprioritised, sustainability is set to gain vigour with the rise of AI.
- Sustainability will be repositioned as a lever of competitiveness, with investment in renewable energy sources and an expanded calculation of climate risk exposure that includes physical assets as well as emissions.
- AI can assess the credibility of sustainability reporting with greater accuracy through better-performing models and expanded assessment capabilities.
The enthusiasm for environmental, social and governance (ESG) metrics that flowed through capital markets in 2021 has faded.
What pushed it out of favour and, for some, down the list of strategic priorities, is familiar by now: political resistance, regulatory uncertainty, greenwashing crackdowns and geopolitical conflicts. What’s pulling it back is newer – artificial intelligence (AI).
Now, sustainability’s standing is a pendulum: a combination of forces swung it out into unpopular territory but it is about to swing back. However, pendulums never swing back to exactly where they were originally.
I have argued before that AI needs sustainability more than sustainability needs AI. That’s because a technology built on land, water, and power is only permitted to scale where it is trusted and that trust rests on the discipline sustainability leaders have spent two decades building.
The pendulum’s return is that dependence is becoming visible on three fronts: competitiveness, risk exposure, and energy security.
What sustainability looks like in the age of AI
Here are the three places I expect the pendulum to settle.
1. Competitiveness is the new net zero
Energy has become the input cost of intelligence. Access to cheap, clean, consistent power now shapes who wins the AI race and when grid capacity bottlenecks the decade’s biggest growth story, renewable energy requires no moral argument.
The International Energy Agency projects that electricity demand from data centres will roughly double to around 945 terawatt-hours (TWh) by 2030 (slightly more than Japan’s entire consumption today), with AI as the most important driver of that growth.
The infrastructure buildout behind those numbers is enormous; big-tech AI infrastructure spending is approaching the scale of global upstream oil-and-gas investment. Securing energy has moved from a net-zero objective to a matter of industrial strategy.
Investors increasingly describe the energy transition in the language of security, resilience, independence and competitiveness rather than carbon reduction. On the demand side, the same AI that strains the grid can optimize energy, materials and logistics in ways that feed directly into margin.
Scaled responsibly, AI is a source of competitiveness and resilience rather than a system stressor.
2. Reporting will reward trajectory, not snapshots
Current mandatory reporting remains material for the largest companies, even as the European Union has delayed and narrowed parts of its reporting and due-diligence regime.
However, its growing complexity will matter less than the compliance industry fears because AI is making disclosure cheap and routine. Once that happens, disclosure is no longer a barrier to smaller companies. A report any company can generate is a report no company can win with. Attention needs to shift from what your emissions are to where your capital is going.
The debate about transition portfolios has moved from excluding high emitters to asking whether a company is deploying serious capital into decarbonization, even while its current emissions remain high.
Investors are judging transitioners on trajectory and not just their current carbon intensity.
Investment theses for companies such as German energy firm RWE, which allocated most of its 2024 cash CapEx (capital expenditure) to offshore wind and onshore wind and solar, or Porsche, whose battery-electric vehicle share reached 22.2% in 2025, are increasingly tied to portfolio transformation rather than the legacy on the books.
Trajectory claims, though, invite a question which snapshots never faced: how do we know you’ll actually do it? This is where AI cuts both ways. The same tools that write the reports can check them against CapEx plans, supply chain data and even satellite imagery.
One recent study ran large language models across satellite images and the environmental claims of 214 European companies. Only 26% of the claims could be positively confirmed; 7.5% were flatly contradicted by what the satellites showed; the rest sat in a grey zone the models could not yet resolve.
The bar is therefore moving from disclosure to verifiable reduction, tied to your business model. As autonomous systems begin to act rather than advise, emissions adjustments and supplier decisions will need to be recorded and traceable in the financial ledger like any other transaction.
3. Physical climate risk will finally be priced
AI keeps lifting the ceiling on what climate models can compute and better models mean insurers, lenders and investors can quantify physical climate risk at the level of individual assets.
Underwriters are already using forward-looking climate outputs to differentiate between locations and assets that once looked identical on paper. My expectation is straightforward: physical climate risk will soon receive the analytical attention that carbon emissions receive now: priced and moved onto the balance sheet.
The irony is that the industry building the risk models is also their most motivated customer. AI infrastructure is a rapidly growing pool of physically exposed capital. A data centre is not a metaphor; it is a very large building that runs hot, drinks water and pulls power, often in places already under climate stress.
Industry analysis suggests that climate-related insurance costs for data centres could triple or quadruple by 2050 without decisive mitigation and adaptation. This means the data foundation behind a company’s climate-risk decisions is becoming one of its more valuable assets.
How to prepare for the return swing of sustainability
The pendulum will come to rest wherever claims can be verified. Companies whose sustainability data can survive an auditor, an insurer and an AI reading satellite imagery will find the swing at their backs. Everyone else will be explaining themselves to the machines that performed the checks.
The corporate world has spent the past few years speaking less loudly about sustainability. That period is ending because AI has reattached sustainability to the things companies cannot ignore: energy costs, insurable risk and the credibility of their own claims.
The transition opportunity now runs well beyond pure-play renewables into grids, electrification equipment, industrial transformation and adaptation. Companies still treating sustainability as a narrow compliance exercise will miss the industrial realignment underway.
Preparing for the swing means more than getting your claims in order. Your stakeholders (investors, non-government organisations, community activists, your own business-to-business client accounts) no longer count on your PDF as the single source of truth.
They will arrive with more information about your sustainability trajectory than ever before and with the scenario-planning power to use it.
Continue reading here.
Previously published by the World Economic Forum
Sophia Mendelsohn, Chief Sustainability and Commercial Officer, SAP
- While the once-popular environmental, social and governance metrics of 2021 have gone out of favour and been deprioritised, sustainability is set to gain vigour with the rise of AI.
- Sustainability will be repositioned as a lever of competitiveness, with investment in renewable energy sources and an expanded calculation of climate risk exposure that includes physical assets as well as emissions.
- AI can assess the credibility of sustainability reporting with greater accuracy through better-performing models and expanded assessment capabilities.
The enthusiasm for environmental, social and governance (ESG) metrics that flowed through capital markets in 2021 has faded.
What pushed it out of favour and, for some, down the list of strategic priorities, is familiar by now: political resistance, regulatory uncertainty, greenwashing crackdowns and geopolitical conflicts. What’s pulling it back is newer – artificial intelligence (AI).
Now, sustainability’s standing is a pendulum: a combination of forces swung it out into unpopular territory but it is about to swing back. However, pendulums never swing back to exactly where they were originally.
I have argued before that AI needs sustainability more than sustainability needs AI. That’s because a technology built on land, water, and power is only permitted to scale where it is trusted and that trust rests on the discipline sustainability leaders have spent two decades building.
The pendulum’s return is that dependence is becoming visible on three fronts: competitiveness, risk exposure, and energy security.
What sustainability looks like in the age of AI
Here are the three places I expect the pendulum to settle.
1. Competitiveness is the new net zero
Energy has become the input cost of intelligence. Access to cheap, clean, consistent power now shapes who wins the AI race and when grid capacity bottlenecks the decade’s biggest growth story, renewable energy requires no moral argument.
The International Energy Agency projects that electricity demand from data centres will roughly double to around 945 terawatt-hours (TWh) by 2030 (slightly more than Japan’s entire consumption today), with AI as the most important driver of that growth.
The infrastructure buildout behind those numbers is enormous; big-tech AI infrastructure spending is approaching the scale of global upstream oil-and-gas investment. Securing energy has moved from a net-zero objective to a matter of industrial strategy.
Investors increasingly describe the energy transition in the language of security, resilience, independence and competitiveness rather than carbon reduction. On the demand side, the same AI that strains the grid can optimize energy, materials and logistics in ways that feed directly into margin.
Scaled responsibly, AI is a source of competitiveness and resilience rather than a system stressor.
2. Reporting will reward trajectory, not snapshots
Current mandatory reporting remains material for the largest companies, even as the European Union has delayed and narrowed parts of its reporting and due-diligence regime.
However, its growing complexity will matter less than the compliance industry fears because AI is making disclosure cheap and routine. Once that happens, disclosure is no longer a barrier to smaller companies. A report any company can generate is a report no company can win with. Attention needs to shift from what your emissions are to where your capital is going.
The debate about transition portfolios has moved from excluding high emitters to asking whether a company is deploying serious capital into decarbonization, even while its current emissions remain high.
Investors are judging transitioners on trajectory and not just their current carbon intensity.
Investment theses for companies such as German energy firm RWE, which allocated most of its 2024 cash CapEx (capital expenditure) to offshore wind and onshore wind and solar, or Porsche, whose battery-electric vehicle share reached 22.2% in 2025, are increasingly tied to portfolio transformation rather than the legacy on the books.
Trajectory claims, though, invite a question which snapshots never faced: how do we know you’ll actually do it? This is where AI cuts both ways. The same tools that write the reports can check them against CapEx plans, supply chain data and even satellite imagery.
One recent study ran large language models across satellite images and the environmental claims of 214 European companies. Only 26% of the claims could be positively confirmed; 7.5% were flatly contradicted by what the satellites showed; the rest sat in a grey zone the models could not yet resolve.
The bar is therefore moving from disclosure to verifiable reduction, tied to your business model. As autonomous systems begin to act rather than advise, emissions adjustments and supplier decisions will need to be recorded and traceable in the financial ledger like any other transaction.
3. Physical climate risk will finally be priced
AI keeps lifting the ceiling on what climate models can compute and better models mean insurers, lenders and investors can quantify physical climate risk at the level of individual assets.
Underwriters are already using forward-looking climate outputs to differentiate between locations and assets that once looked identical on paper. My expectation is straightforward: physical climate risk will soon receive the analytical attention that carbon emissions receive now: priced and moved onto the balance sheet.
The irony is that the industry building the risk models is also their most motivated customer. AI infrastructure is a rapidly growing pool of physically exposed capital. A data centre is not a metaphor; it is a very large building that runs hot, drinks water and pulls power, often in places already under climate stress.
Industry analysis suggests that climate-related insurance costs for data centres could triple or quadruple by 2050 without decisive mitigation and adaptation. This means the data foundation behind a company’s climate-risk decisions is becoming one of its more valuable assets.
How to prepare for the return swing of sustainability
The pendulum will come to rest wherever claims can be verified. Companies whose sustainability data can survive an auditor, an insurer and an AI reading satellite imagery will find the swing at their backs. Everyone else will be explaining themselves to the machines that performed the checks.
The corporate world has spent the past few years speaking less loudly about sustainability. That period is ending because AI has reattached sustainability to the things companies cannot ignore: energy costs, insurable risk and the credibility of their own claims.
The transition opportunity now runs well beyond pure-play renewables into grids, electrification equipment, industrial transformation and adaptation. Companies still treating sustainability as a narrow compliance exercise will miss the industrial realignment underway.
Preparing for the swing means more than getting your claims in order. Your stakeholders (investors, non-government organisations, community activists, your own business-to-business client accounts) no longer count on your PDF as the single source of truth.
They will arrive with more information about your sustainability trajectory than ever before and with the scenario-planning power to use it.
Continue reading here.