IBM Big Data Hub

SEPTEMBER 6, 2023

A recent study by Price Waterhouse Cooper (PwC) estimates that by 2030, artificial intelligence (AI) will generate more than USD 15 trillion for the global economy and boost local economies by as much as 26%. (1) AI can help marketers create and optimize content to meet the new standards. What is AI marketing?

Marketing 88

Marketing Technology Advertising ROI 88

IBM Big Data Hub

FEBRUARY 20, 2024

The model could potentially be used to identify conditions that raise the risks of wildfires and predict hurricanes and droughts. The United Nations’ Intergovernmental Panel on Climate Change (IPCC) predicts people living in Africa, Australia, North America and Europe will face health risks due to rising temperatures and heat waves.

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Smart Data Collective

MAY 10, 2022

For example, banks now apply AI to assess credit risks with high accuracy. According to P&S Intelligence , AI in the fintech market is expected to grow to $47 billion in 2030 from $7.7 They include; Credit risk assessment. The analysis helps them execute trades at the most optimal prices. billion in 2020.

Marketing 110

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CIO Business Intelligence

JANUARY 12, 2023

In last year’s Digitization of African Agriculture report, which the ACP compiles, it details how 33 million small-scale farmers and pastoralists registered with Digital for Agriculture (D4Ag) solutions across the continent in 2019, adding that it’s expected to rise to 200 million by 2030. Managing water is becoming crucial,” he says. “The

IoT 143

IoT Consulting Internet of Things Technology 143

CIO Business Intelligence

APRIL 27, 2022

Cyber threats are among the top ten highest-rated critical risks of organizations today and for 2030, according to? Protiviti’s Executive Perspectives on Top Risks for 2021 and 2030. The constantly changing risk environment requires companies to be agile in how they adapt and address cyber risks. Microsoft

Technology 52

Technology ROI Risk Digital Transformation 52

IBM Big Data Hub

APRIL 18, 2024

Regardless, given the wide range of predictions for AGI’s arrival, anywhere from 2030 to 2050 and beyond, it’s crucial to manage expectations and begin by using the value of current AI applications. Manufacturing and supply chain management AGI might revolutionize manufacturing by optimizing every step of the process.

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Cost-Benefit Modeling Manufacturing Interactive 97

datapine

MAY 31, 2022

billion and is expected to expand at a rate of 15.7% (CAGR) between now and 2030. We discussed already some of these cloud computing challenges when comparing cloud vs on premise BI strategies. This increases the risks that can arise during the implementation or management process. Cost management and containment.

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Risk Cost-Benefit Business Intelligence Data-driven 237

CIO Business Intelligence

JANUARY 20, 2023

Driven by the growth of cloud-based technologies, the global VDI market is projected to reach a value of more than USD78 billion by 2030. [3] Emerging from the pandemic, Montage Health leaders aimed to continue and optimize telehealth, telemedicine, virtual care, and virtual visits. Just starting out with analytics?

Technology 59

Technology Cost-Benefit Deep Learning Modeling 59

IBM Big Data Hub

JULY 27, 2023

through 2030. The following are some of the most impactful ways oil and gas is embracing EAM as an asset management strategy: Asset lifecycle management : Oil and gas assets are intricate, costly and have lengthy lifecycles. As of 2022, the EAM market was valued at nearly $6 billion , with a compound annual growth rate of 16.9%

Cost-Benefit 62

Cost-Benefit IoT Internet of Things Enterprise 62

DataRobot Blog

MARCH 15, 2022

The main themes emerging from our conversations cover data integration, security and humility, strategy, and workforce development: Join siloed data together to create longitudinal, ready-to-analyze datasets. The push to predictive and prescriptive analytics requires strategy and C-Suite ownership.

Prescriptive Analytics 52

Prescriptive Analytics Digital Transformation Data-driven Machine Learning 52

Cloudera

NOVEMBER 19, 2018

To achieve success, they must formulate and implement strategies for sustainability that encompass not just environmental (“green”) issues, but also social, economic, and cultural concerns. Optimizing crop rotation within small-scale agricultural operations. Maximizing efficiencies in aquaponics.

Digital Transformation 40

Digital Transformation IoT Cost-Benefit Uncertainty 40

CIO Business Intelligence

FEBRUARY 26, 2024

Before the popularization of DALL-E, Stable Diffusion, and Chat GPT, very few business executives were tasking technology leaders with accelerating AI strategies. When leaders place transformational outcomes at the center of their strategies, AI becomes a force multiplier for growth. That’s all changed.

Cost-Benefit 137

Cost-Benefit Modeling Data-driven Enterprise 137

IBM Big Data Hub

FEBRUARY 5, 2024

The Australian government is officially phasing out checks by 2030 as part of a wider range of payment reforms for the digital era. Because the majority of check processing exists on legacy infrastructure, new changes might create risks to the entire payments ecosystem.

Risk 98

Risk Management Reporting Optimization 98

Smart Data Collective

AUGUST 31, 2023

Therefore, it should be no surprise that the market for financial analytics is projected to be worth nearly $19 billion by 2030. These yields are becoming even greater as more investors embrace data-driven investing strategies. Data analytics has had a tremendous impact on the financial sector in recent years.

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ROI Data Analytics Analytics Risk 96

IBM Big Data Hub

DECEMBER 20, 2023

Instead of using explicit instructions for performance optimization, ML models rely on algorithms and statistical models that deploy tasks based on data patterns and inferences. Supervised learning is commonly used for risk assessment, image recognition, predictive analytics and fraud detection, and comprises several types of algorithms.

Machine Learning 83

Machine Learning Modeling Deep Learning Predictive Modeling 83

Smart Data Collective

AUGUST 29, 2022

They need a more comprehensive analytics strategy to achieve these business goals. Today, there are many advanced ML approaches that you can use to enhance your analytics and gain valuable insights on how to optimize business processes, improve decision-making, build the right customer relationships, and leverage your market proposition.

Analytics 116

Analytics Predictive Analytics Machine Learning Insurance 116

IBM Big Data Hub

OCTOBER 20, 2023

trillion to the global economy in 2030, more than the current output of China and India combined.” This unified experience optimizes the process of developing and deploying ML models by streamlining workflows for increased efficiency. AI plays a pivotal role as a catalyst in the new era of technological advancement.

Machine Learning 81

Machine Learning Manufacturing Cost-Benefit Deep Learning 81

Cloudera

JUNE 23, 2021

Yet there are also more subtle risks to monitor, including changes to insured assets, risks, and exposures. Climate change can also impact the insurance carrier as an enterprise itself—similarly to cyber risks, insurers underwrite cyber risks for their customers, as well as manage their own risks and exposure as a company.

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Insurance Risk Modeling Risk Management 52