DataRobot Blog

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States.

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Smart Data Collective

FEBRUARY 3, 2022

Therefore, the subscription business model is changing how customers pay for the service they receive. Hover, the subscription model can be quite challenging for businesses. If they wish to implement this model, they need to have an information collection system to keep track of billing and customer requests.

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CIO Business Intelligence

DECEMBER 28, 2023

The need to manage risk, adhere to regulations, and establish processes to govern those tasks has been part of running an organization as long as there have been businesses to run. Furthermore, the State of Risk & Compliance Report, from GRC software maker NAVEX, found that 20% described their programs as early stage.

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Cloudera

DECEMBER 19, 2023

There, I met with IT leaders across multiple lines of business and agencies in the US Federal government focused on optimizing the value of AI in the public sector. As also expected, most had experimented on their own with large language models (LLM) and image generators.

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Cloudera

OCTOBER 20, 2021

As governments gather to push forward climate and renewable energy initiatives aligned with the Paris Agreement and the UN Framework Convention on Climate Change, financial institutions and asset managers will monitor the event with keen interest. What are the key climate risk measurements and impacts? They need to understand; .

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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.

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Risk Marketing Technology Management 86

IBM Big Data Hub

APRIL 9, 2024

” Watsonx.data lets organizations optimize workloads for different uses. Preparing and annotating data IBM watsonx.data helps organizations put their data to work, curating and preparing data for use in AI models and applications. “We also pull in video, which is where we add the commentary and embed it into the clips.”

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CIO Business Intelligence

DECEMBER 18, 2023

A primary fear is that employees, partners, and organizational stakeholders might share everything from private data to source code into public large language models (LLMs), expose proprietary information and intellectual property, or reveal vulnerabilities to exploit. government’s attention. AI can create as much havoc (or more!)

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IBM Big Data Hub

MAY 1, 2024

Unlocking the full potential of supply chain management has long been a goal for businesses that seek efficiency, resilience and sustainability. In the age of digital transformation, the integration of advanced technologies like generative artificial intelligence brings a new era of innovation and optimization.

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CIO Business Intelligence

SEPTEMBER 14, 2023

In a rapidly evolving business landscape, where innovation and cost efficiency are paramount, the launch of VMware Cross-Cloud managed services at VMware Explore 2023 Las Vegas is a pivotal moment.

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CIO Business Intelligence

NOVEMBER 16, 2023

A large language model (LLM) is a type of gen AI that focuses on text and code instead of images or audio, although some have begun to integrate different modalities. But there’s a problem with it — you can never be sure if the information you upload won’t be used to train the next generation of the model. Dig Security isn’t alone.

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DataRobot

AUGUST 27, 2021

Individuals who will identify as at-risk students. A university can use AI to better manage student applications with a machine learning model that can predict whether a prospective student will apply. During this preliminary stage, AI can help a university better manage the admissions process. See DataRobot in Action.

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Optimization Cost-Benefit Machine Learning Risk 97

Smart Data Collective

OCTOBER 13, 2021

It’s similar to prices – price optimization through machine learning is a great tool to grow your revenue. Figuring out the best pricing model can be tricky. By processing and analyzing big amounts of data, they can help you establish optimized pricing plans. Hire machine learning to make optimal pricing decisions.

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O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

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CIO Business Intelligence

DECEMBER 19, 2023

Their steady income stream and relatively low risk compared to equities make them an especially important component of pension and retirement planning. Each type of issuer presents a different level of risk and tax treatment. Hexaware conducted extensive fine-tuning to adapt the model to different industries and company types. “We

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Risk Cost-Benefit Unstructured Data Data-driven 52

bridgei2i

SEPTEMBER 24, 2020

From supply chain optimization to automating recurring tasks, using chatbots and personalizing suggestions for improved customer service, and making the most of business intelligence for better decision making, AI is the go-to choice for most businesses, irrespective of the industry. However, risk management is no way lagging.

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CIO Business Intelligence

JULY 3, 2023

For the last 30 years, the dream of being able to collect, manage and make use of the collected knowledge assets of an organization has never been truly realized. But the rise of large language models (LLMs) is starting to make true knowledge management (KM) a reality.

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CIO Business Intelligence

AUGUST 29, 2023

So, let’s consider the potential impact on one sector to explore the future of generative AI, large language models (LLMs), and enterprise service management (ESM)—a combination that many are coming to call AI service management. But before we describe that future, let’s briefly define Enterprise Service Management (ESM).

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CIO Business Intelligence

JULY 17, 2023

The Infrastructure-as-a-Service (IaaS) cloud computing model enables remote working, supports digital transformation, provides scale, increases resilience, and can reduce costs. Cloud infrastructure is especially sensitive, as many critical applications are at risk, such as customer-facing applications.

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Management Data Processing Risk Digital Transformation 98

Smart Data Collective

FEBRUARY 9, 2022

Luckily, there are a few analytics optimization strategies you can use to make life easy on your end. Let’s dive right into how DirectX visualization can boost analytics and facilitate testing for you as an Algo-trader, quant fund manager, etc. For example, the trading duration, volatility and risk involved, among other things.

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CIO Business Intelligence

FEBRUARY 1, 2023

As organizations of all stripes continue their migration to the cloud, they are coming face to face with sometimes perplexing cost issues, forcing them to think hard about how best to optimize workloads, what to migrate, and who exactly is responsible for what. 3 Do they have Data Management Services as part of their portfolio?

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Optimization Cost-Benefit Consulting Strategy 112

IBM Big Data Hub

FEBRUARY 5, 2024

Cloud computing continues to grow in popularity, and its scalability, functionality, cost-effectiveness and other potential benefits have helped transform traditional business models and update legacy systems, creating opportunities for various organizations.

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Management Cost-Benefit Strategy Risk 70

CIO Business Intelligence

DECEMBER 20, 2022

Deploying data and workloads in this model offers the potential for incredible value, including improved agility, functionality, cost savings, performance, cloud security, compliance, sustainability, disaster recovery—the list goes on. Regardless, you need a plan in place before you make this transition.

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Optimization Cost-Benefit Modeling Risk 98

Smart Data Collective

JULY 20, 2022

A growing number of businesses use big data technology to optimize efficiency. For CEOs and company managers, it is crucial not to waste time and resources on tasks that do not make a significant contribution to the company, but instead are a waste. Data-driven decision-making has become a major element of modern business.

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IBM Big Data Hub

MAY 1, 2023

Google Cloud Platform (GCP) enables customers to build, manage and deploy modern, scalable applications to achieve digital business success. In this blog post, we will review the various methods of GCP cloud cost management, what problems they address and how GCP users can best use them. Learn more about IBM Turbonomic.

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Smart Data Collective

FEBRUARY 14, 2023

However, it is important to understand the benefits and risks associated with cloud computing before making the commitment. However, there are some risks associated with using cloud-based software for business purposes. Firstly, there is always the risk of data breaches due to cyber-attacks or human error.

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Risk Cost-Benefit Software Technology 97

CIO Business Intelligence

JUNE 9, 2023

Such is the case with a data management strategy. That gap is becoming increasingly apparent because of artificial intelligence’s (AI) dependence on effective data management. For many organizations, the real challenge is quantifying the ROI benefits of data management in terms of dollars and cents. The second best time is now.”

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CIO Business Intelligence

MARCH 24, 2023

It encompasses the people, processes, and technologies required to manage and protect data assets. The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.”

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Data Governance Management Metadata Data Quality 142

erwin

JANUARY 9, 2020

Enterprises are trying to manage data chaos. For decades, data modeling has been the optimal way to design and deploy new relational databases with high-quality data sources and support application development. Today’s data modeling is not your father’s data modeling software.

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Rita Sallam

APRIL 2, 2023

Are there mitigation strategies that show reasons for optimism? To extend the Bake-Off experience to a broader range of vendors, including smaller innovators, we also did a series of Show Floor Showdowns for analytics and BI, data science and machine learning and for data management. Here is the link to Qlik’s BI Bake-Off video.

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Optimization Machine Learning Insurance Risk 52

bridgei2i

APRIL 23, 2020

At least four staff members of (Royal bank of Scotland (RBS) died : the managers of Walton and London Mincing Lane branches, a female clerk at Islington, and a boy clerk at Deptford. Europe is in worse shape than America, with banks in UK, Italy and Germany in the risk of being in red. Understanding & Managing Risks.

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CIO Business Intelligence

DECEMBER 12, 2023

But CIOs grapple to reconcile advancing agility and speed with the complexities of managing multicloud and sprawling edge environments built on disparate standards and formats. Multicloud architectures help organizations get access to the right tools, manage their cost profiles, and quickly respond to changing needs.

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CIO Business Intelligence

MAY 9, 2024

Driving business benefits Companies seeking CAIOs are looking to reap myriad benefits from AI adoption, ranging from improved decision-making, to increased efficiency of business processes, higher-quality services, profitability, talent management, customer experience, and innovation.

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CIO Business Intelligence

AUGUST 28, 2023

Agile project management definition Agile project management is a methodology used primarily in software development that favors flexibility and collaboration, incorporating customer feedback throughout the project life cycle.

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Management Software Testing Risk 98

Smart Data Collective

SEPTEMBER 28, 2022

Businesses are having a difficult time managing this growing array of data, so they need new data management tools. Data management is a growing field, and it’s essential for any business to have a data management solution in place. Big data management increases the reliability of your data.

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Jedox

SEPTEMBER 29, 2021

Does it make sense to have a complete separation between your company goals, sales reps targets, and compensation models? In this blog post, we’ll look at how you connect the dots between Sales Performance Management and xP&A. What is Sales Performance Management?

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John Wheeler

OCTOBER 21, 2019

Over the past month, I’ve been speaking to various groups to help them prepare for the onslaught of digital risks in their organizations. A common theme is the need for greater risk quantification beyond the realm of traditional, qualitative governance, risk and compliance (GRC) approaches.

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