Cloudera

FEBRUARY 4, 2021

Financial services institutions need the ability to analyze and act on massive volumes of data from diverse sources in order to monitor, model, and manage risk across the enterprise. They need a comprehensive data and analytics platform to model risk exposures on-demand. Cloudera is that platform.

Risk 88

Risk Marketing Technology Management 88

Smart Data Collective

JUNE 23, 2022

In light of this, industry experts are using analytics to streamline production and minimize waste to address these challenges. Here’s an in-depth look into analytics and its role in the automotive sector. Each aspect of the automotive workflow has its respective form of analytics. Risk Management. Quality Control.

Analytics 121

Analytics Manufacturing Internet of Things Risk 121

IBM Big Data Hub

OCTOBER 16, 2023

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. It encompasses risk management and regulatory compliance and guides how AI is managed within an organization.

Risk 70

Risk Modeling Management Metadata 70

CIO Business Intelligence

JUNE 23, 2023

Respondents were asked about their current IT stressors, their approach to modernizing their IT infrastructure, and how they plan to become more efficient and optimized in the years ahead. It helps reduce risk, increase efficiency, optimize resources, and improve both the customer and employee experience.

IT 91

IT Risk Management Risk Optimization 91

Cloudera

APRIL 18, 2024

In the financial sector, regulations are essential for financial institutions to maintain stability by preventing excessive risk-taking, ensuring adequate capitalization and reducing the likelihood of failures or financial crises.

Risk Management 76

Risk Management Risk Testing Management 76

John Wheeler

NOVEMBER 25, 2020

Integrated risk management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. Re-starting business operations will require risk visibility not only across the organization but vertically down through the organization as well. Key Findings.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

CIO Business Intelligence

MAY 9, 2024

They should lead the efforts to tie AI capabilities to data analytics and business process strategies and champion an AI-first mindset throughout the organization. At a high level, a CAIO will need to understand the business well enough to identify where AI can make an impact, whether through new value streams or optimization, Daly says.

Risk Management 131

Risk Management Risk Cost-Benefit Technology 131

AWS Big Data

FEBRUARY 1, 2024

Trade quality and optimization – In order to monitor and optimize trade quality, you need to continually evaluate market characteristics such as volume, direction, market depth, fill rate, and other benchmarks related to the completion of trades. Database cluster – For this solution, we use an Amazon Aurora MySQL-Compatible Edition 8.0

Data Warehouse 123

Data Warehouse Dashboards Risk Management Risk 123

Cloudera

MAY 18, 2021

With Flink SQL, business analysts, developers, and quants alike can quickly build a streaming pipeline to perform complex data analytics in real time. Value-at-Risk (VaR) is a widely used metric in risk management. This practice was prevalent in risk management ever since JP Morgan invented VaR in the 1980s.

Risk 99

Risk Marketing Risk Management Data-driven 99

IBM Big Data Hub

JUNE 10, 2024

Cloud-based XaaS offerings provide organizations with the agility to scale resources up or down based on demand, enabling optimal resource utilization and cost efficiency. XaaS models offer organizations greater predictability and transparency in cost management by providing detailed billing metrics and usage analytics.

Experimentation 63

Experimentation Optimization Risk Management Modeling 63

IBM Big Data Hub

FEBRUARY 13, 2024

They also factor in how a strong partnership could reduce supply chain risk and advance sustainability. Such analysis and decision-making are often optimized with the help of various technologies, including artificial intelligence tools and data analytics platforms.

Cost-Benefit 78

Cost-Benefit Scorecard Risk Recreation/Entertainment 78

Smart Data Collective

SEPTEMBER 17, 2020

Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. Data analytics are now very crucial whenever there is a decision-making process involved. Analytics and big data play a critical role when it comes to the financial industry. Perks Associated with Big Data.

Big Data 142

Big Data Finance Risk Management Risk 142

CIO Business Intelligence

MAY 14, 2024

Cybersecurity Guardians : Honoring CIOs who have demonstrated excellence in cybersecurity and risk management, safeguarding their organizations against cyber threats and ensuring the security of digital assets.

Digital Transformation 88

Digital Transformation Business Objectives Risk Management Technology 88

IBM Big Data Hub

FEBRUARY 19, 2024

To mitigate these risks , companies need the resources and technology to develop robust contingency plans. Better customer satisfaction : An optimized supply chain allows businesses to make sure products are available when and where people want them—which can improve relationships and loyalty with customers.

Strategy 81

Strategy Management Forecasting Cost-Benefit 81

AWS Big Data

JANUARY 31, 2024

Transaction cost analysis (TCA) is widely used by traders, portfolio managers, and brokers for pre-trade and post-trade analysis, and helps them measure and optimize transaction costs and the effectiveness of their trading strategies. In the Analytics engine section, select Apache Spark. GBits per second.

Marketing 83

Marketing Analytics Visualization Strategy 83

bridgei2i

APRIL 23, 2020

The banking sector globally is definitely going to see impact, some more grave than the others and most of them are announcing short to mid term measure both from a customer and business risk mitigation standpoint. Europe is in worse shape than America, with banks in UK, Italy and Germany in the risk of being in red.

Risk 52

Risk Management Scorecard Forecasting 52

Smarten

MAY 17, 2019

With the right advanced analytical tools, a business can combine internal and external data to understand and anticipate trends, patterns and factors that will affect the bottom line, the supply chain, resource and location planning and other aspects of business success. Learn More: Predictive Analytics Using External Data.

Predictive Analytics 58

Predictive Analytics Analytics Predictive Modeling Risk Management 58

IBM Big Data Hub

FEBRUARY 28, 2024

Successful strategic sourcing often results in process optimization, cost management, customer satisfaction, risk management , increased sustainability and other benefits. In addition to enhanced decision-making, flexibility and visibility, analytics engines paired with AI can help manage supplier risk.

Strategy 95

Strategy Technology Cost-Benefit Risk Management 95

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.

Insurance 52

Insurance Risk Modeling Risk Management 52

CIO Business Intelligence

OCTOBER 17, 2022

DORA’s uniform requirements for the security of network and information systems encompass not only enterprises in the financial sector, but also critical third-party vendors providing information and communications technology–related services to the financial sector, such as cloud platforms and data analytics.

Risk Management 93

Risk Management Risk Enterprise Testing 93

Cloudera

DECEMBER 14, 2022

OCBC Bank optimizes customer experience & risk management with multi-phased data initiative. The company recently migrated to Cloudera Data Platform (CDP ) and CDP Machine Learning to power a number of solutions that have increased operational efficiency, enabled new revenue streams and improved risk management.

Data Strategy 81

Data Strategy Strategy IT Contextual Data 81

IBM Big Data Hub

JANUARY 30, 2024

Finance: Optimized for high-speed transactions and can assist in providing robust security, harnessing AI for fraud detection and real-time risk management. Finance: Optimized for high-speed transactions and can assist in providing robust security, harnessing AI for fraud detection and real-time risk management.

Manufacturing 71

Manufacturing Business Objectives Optimization Risk Management 71

Jet Global

JANUARY 11, 2021

There are obviously some core functions associated with the CFO position, such as producing clear, accurate financial statements, attending to cash flow and the efficient use of working capital , risk management, responsibility for tax and compliance , and ensuring that the necessary internal controls are in place.

Analytics 75

Analytics Key Performance Indicator Finance Risk Management 75

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. These benefits include enhanced operational efficiency through streamlined processes and optimized resource allocation.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

CIO Business Intelligence

JANUARY 24, 2024

The product — a building or bridge — might be physical but it can be represented digitally, through virtual design and construction, she says, with elements of automation that can optimize and streamline entire business processes for how physical products are delivered to clients. Hire the right architects.

Risk Management 96

Risk Management Risk Management Digital Transformation 96

IBM Big Data Hub

JUNE 29, 2023

Learn more about IBM Planning Analytics Integrated business planning framework Integrated Business Planning (IBP) is a holistic approach that integrates strategic planning, operational planning, and financial planning within an organization.

Key Performance Indicator 76

Key Performance Indicator Forecasting Sales Data Integration 76

IBM Big Data Hub

DECEMBER 14, 2023

To combat these ever-growing risks, the concept of cyber resiliency has gained significant importance. Our approach to cyber resiliency Risk assessment and strategy : IBM emphasizes the importance of conducting a thorough risk assessment to identify vulnerabilities and potential threats.

Risk 78

Risk Measurement Business Objectives Optimization 78

Cloudera

AUGUST 12, 2021

However, the important role data occupies extends beyond customer experience and revenue, as it becomes increasingly central in optimizing internal processes for the long-term growth of an organization. Collecting workforce data as a tool for talent management. Streamlining operations with advanced analytics to preempt issues.

Data-driven 111

Data-driven Manufacturing Insurance Risk Management 111

IBM Big Data Hub

FEBRUARY 13, 2024

Product development : Generative AI is increasingly utilized by product designers for optimizing design concepts on a large scale. It assists in structural optimization which ensures that products are strong, durable and use minimal material, leading to considerable cost reductions.

Enterprise 119

Enterprise Modeling Testing Data-driven 119

IBM Big Data Hub

OCTOBER 4, 2022

Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. Manual processes that introduce risk and make it hard to scale. Platforms and practices not optimized for AI. Challenges around managing risk.

Metadata 97

Metadata Risk Risk Management Experimentation 97

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. By 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance. Uncertain economic conditions. Intense competition at every level.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Cloudera

SEPTEMBER 7, 2023

But it’s also fraught with risk. This June, for example, the European Union (EU) passed the world’s first regulatory framework for AI, the AI Act , which categorizes AI applications into “banned practices,” “high-risk systems,” and “other AI systems,” with stringent assessment requirements for “high-risk” AI systems.

Insurance 83

Insurance Risk Data-driven Finance 83

Smart Data Collective

SEPTEMBER 28, 2021

Moreover, with the help of an AI development company , businesses can avoid unforeseen downtime, increase operational productivity, develop new services and products, and boost risk control. There are IoT solutions that can assist them in collecting data and performing analytics for inventory management.

IoT 134

IoT Internet of Things Cost-Benefit Consulting 134

Cloudera

OCTOBER 12, 2020

We believe Eventador will accelerate innovation in our Cloudera DataFlow streaming platform and deliver more business value to our customers in their real-time analytics applications. Risk management and real-time fraud analysis for IT and finance teams. Our primary design principles are self-service, simplicity and hybrid.

IoT 132

IoT Risk Management Finance Sales 132

Cloudera

JULY 29, 2022

Organizations have good reason to believe that adopting data analytics tools and hiring data professionals will allow them to extract the full value of their data. Most importantly, it helps organizations control costs and reduce risks, enforcing consistent security and governance across all enterprise data assets.”.

Data Architecture 89

Data Architecture Data Strategy Risk Management Strategy 89

Ontotext

APRIL 6, 2023

More and more companies are using them to improve a variety of tasks from product range specification and risk analysis to supporting self-driving cars. This allows companies to model and optimize the interactions between the various computers that make a car run, ensuring everything is operating in sync to meet the desired specifications.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

BizAcuity

APRIL 1, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In fact, online casinos as an industry carries the biggest risk of money laundering. For predictive analytics to deliver high accuracy, a lot depends on the combination of domain knowledge and technical expertise.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52