IBM Journey to AI blog

APRIL 18, 2023

Across industries, the exponential growth of technologies such as hybrid cloud, data and analytics, AI and IoT have reshaped the way businesses operate and heightened customer expectations. Businesses are now entering an even greater digital era marked by broader applications of AI, including generative AI models.

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IBM Journey to AI blog

APRIL 21, 2023

First, The ESG conundrum reveals that while an increased focus on environmental sustainability remains a top priority for participating consumers and business executives, inadequate data is a key challenge for both groups when it comes to achieving personal and corporate Environmental, Social and Governance (ESG) goals.

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IBM Journey to AI blog

NOVEMBER 14, 2023

Data monetization is a business capability where an organization can create and realize value from data and artificial intelligence (AI) assets. Advanced data management software and generative AI can accelerate the creation of a platform capability for scalable delivery of enterprise ready data and AI products.

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IBM Journey to AI blog

FEBRUARY 7, 2024

As more companies set broad environmental, social and governance (ESG) goals, finding a way to track and accurately document progress is increasingly important. 2 For example, some are turning to software solutions that can more easily capture, manage and report ESG data. The smart factories that make up Industry 4.0

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IBM Journey to AI blog

JANUARY 22, 2024

IDC predicts a surge in AI-enabled automation , reducing the need for human operations intervention by 70% by 2027​​ However, AI is also a disruptor, necessitating advanced infrastructure to meet data-intensive computational demands.

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IBM Journey to AI blog

SEPTEMBER 23, 2024

“MVI’s AI-powered visual inspection and modeling capabilities allow for head- and tusk-related image recognition of individual elephants similar to the way we identify humans via fingerprints,” explained Kendra DeKeyrel, Vice President ESG and Asset Management Product Leader at IBM.

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IBM Journey to AI blog

JUNE 8, 2023

According to a recent IBM Institute for Business Value survey, 95% of surveyed global executives say their organizations have developed ESG propositions. However, many of these organizations lack a clear pathway to realizing their goals and 41% of surveyed executives cite inadequate data as their biggest obstacle to ESG progress.

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IBM Journey to AI blog

SEPTEMBER 18, 2023

Supplier visibility and traceability is growing in importance to help achieve environmental, social and governance (ESG) targets. Siloed processes can become integrated by using intelligent workflows, which help enable seamless and automated exchange of financial, informational and physical supply chain data in one distributed network.

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AWS Machine Learning Blog

APRIL 22, 2024

Organizations are facing ever-increasing requirements for sustainability goals alongside environmental, social, and governance (ESG) practices. This post serves as a starting point for any executive seeking to navigate the intersection of generative artificial intelligence (generative AI) and sustainability. A Gartner, Inc.

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IBM Journey to AI blog

NOVEMBER 8, 2023

Execute and set up reporting: Implement the system with the capability to monitor and measure through automated reporting (including tracking missing data and data health, as well as origin traceability). Companies that approach this process intentionally will not only achieve compliance but also unlock additional value.

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IBM Journey to AI blog

OCTOBER 25, 2023

Implementing generative AI can seem like a chicken-and-egg conundrum. In a recent IBM Institute for Business Value survey, 64% of CEOs said they needed to modernize apps before they could use generative AI. Organizations that have mastered hybrid cloud are well positioned to implement generative AI across the organization.

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IBM Journey to AI blog

FEBRUARY 13, 2024

.¹ With supply chains often accounting for more than 90% of the greenhouse gas (GHG) emissions associated with providing an enterprise’s products and services, strategic sourcing through the lens of sustainability is another way to reduce overall emissions and advance environmental, social and governance (ESG) goals.

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IBM Journey to AI blog

JUNE 28, 2023

IBM Turbonomic is excited to launch the next phase in our commitment to provide automation tools designed to help customers understand energy use and carbon emissions of their data centers and help them to become more efficient. The core functionality of version 8.9.2,

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ODSC - Open Data Science

MARCH 7, 2025

In the fast-moving world of AI and data science, high-quality financial datasets are essential for building effective models. Whether its algorithmic trading , risk assessment, fraud detection , credit scoring, or market analysis, the accuracy and depth of financial data can make or break an AI-driven solution.

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IBM Journey to AI blog

JULY 6, 2023

India’s Business Responsibility and Sustainability Report (BRSR)—a framework for environmental, social and governance (ESG) reporting—comes into effect in 2023. As India moves to mandatory ESG reporting, the BRSR is aimed at improving compliance, consistency and communication around non-financial disclosures.

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Unite.AI

AUGUST 25, 2023

Just as supply chain disruptions became the frequent subject of boardroom discussions in 2020, Generative AI quickly became the hot topic of 2023. Supply chains are, to a certain extent, well suited for the applications of generative AI, given they function on and generate massive amounts of data.

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IBM Journey to AI blog

FEBRUARY 16, 2024

Breach and Attack Simulation (BAS) is an automated and continuous software-based approach to offensive security. However, unlike red teaming and pen testing, BAS tools are fully automated and can provide more comprehensive results with fewer resources in the time between more hands-on security tests.

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IBM Journey to AI blog

APRIL 21, 2023

CSRD values sustainability metrics alongside environmental performance, paying particular attention to the “S” in ESG, such as employee health, human rights, bribery, anti-corruption and diversity. NFRD vs. CSRD: Key differences explained The EU CSRD builds on the existing NFRD to make reporting more thorough and relevant.

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IBM Journey to AI blog

DECEMBER 12, 2023

For example, Sund & Baelt automated their inspection work to monitor and manage its critical infrastructures to help them reduce time and costs. Strategic planning and operational efficiency Strategic maintenance planning drives significant cost savings.

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IBM Journey to AI blog

JANUARY 31, 2024

Businesses now look beyond offshore outsourcing and labor arbitrage, instead leveraging artificial intelligence (AI) and automation to create efficiencies and modernize processes. This has fundamentally changed the outsourcing market. Subcontracting falls under the umbrella of outsourcing.

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IBM Journey to AI blog

JANUARY 16, 2024

Businesses are increasingly embracing data-intensive workloads, including high-performance computing, artificial intelligence (AI) and machine learning (ML). Companies are also striving to balance this innovation with growing environmental, social and governance (ESG) regulations.

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Flipboard

APRIL 23, 2023

With growing interest in generative AI after the release of OpenAI’s ChatGPT in November last year, agencies are now laying the groundwork for AI-based initiatives both on the enterprise and client side. We believe in AI as a business enablement tool,” Gardner said.

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Marktechpost

APRIL 2, 2024

Integrating artificial intelligence (AI) within the finance sector has catalyzed a transformative shift, offering unprecedented efficiency, security, and user experience enhancements. Let’s delve into more detail about a few firms utilizing AI in finance, showcasing their innovative approaches and the impact of their contributions.

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ODSC - Open Data Science

APRIL 28, 2023

Be sure to check out her talk, “ Power trusted AI/ML Outcomes with Data Integrity ,” there! Due to the tsunami of data available to organizations today, artificial intelligence (AI) and machine learning (ML) are increasingly important to businesses seeking competitive advantage through digital transformation.

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IBM Journey to AI blog

JANUARY 16, 2024

This coming year, emerging technologies, such as automation and efficiency, are expected to come to the forefront. Generative AI is expected to be the most influential trend permeating the entire financial services sector of 2024. The advancements made in tech since the pandemic have boomed and ultimately changed the financial sector.

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Topbots

JANUARY 29, 2025

When I talk to corporate customers, there is often this idea that AI, while powerful, wont give any company a lasting competitive edge. Indeed, maybe one day, when businesses and markets are driven by the invisible hand of AI, the equal-opportunity hypothesis might ring true. this article for an in-depth introduction).

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AWS Machine Learning Blog

MARCH 2, 2023

W&B Sweeps is a powerful tool to automate hyperparameter optimization. W&B Sweeps will automate this kind of exploration. Ilan Gleiser is a Principal Global Impact Computing Specialist at AWS leading the Circular Economy, Responsible AI and ESG businesses.

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Unite.AI

MAY 10, 2024

Artificial intelligence (AI) in supply chains is a chicken-or-the-egg thing. There are those who extol AI for its potential to create greater visibility into supply chain operations. In other words, AI first, visibility second. Second, GenAI and other AI tools can help build a bridge toward greater supply chain automation.

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Unite.AI

DECEMBER 11, 2024

But one topic still seems to be front and center on everyones mindartificial intelligence (AI)/generative AI (GenAI). It is the age of innovation FOMO, and leaders are overwhelmingly being asked to incorporate some AI/GenAI functionality into their operations so their companies are not left behind.

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Unite.AI

DECEMBER 6, 2024

Tape backups were unreliable and inefficient, and I envisioned a more streamlined, automated solution. This led to the founding of Nerdio, a platform that automates cloud environments specifically for MSPs, empowering them to deliver cloud services without needing deep cloud expertise.

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