CIO Business Intelligence

NOVEMBER 20, 2023

Measuring developer productivity has long been a Holy Grail of business. In addition, system, team, and individual productivity all need to be measured. Greater maturity in development practices is associated with better company performance. And like the Holy Grail, it has been elusive. So, it’s complicated.

Measurement 126

Measurement Metrics Software Testing 126

CIO Business Intelligence

JUNE 23, 2023

Not only should the data strategy be cognizant of what’s in the IT and business strategies, it should also be embedded within those strategies as well, helping them unlock even more business value for the organization.

Data Strategy 116

Data Strategy Strategy Visualization Consulting 116

CIO Business Intelligence

FEBRUARY 24, 2023

The motivations to digitize client-facing solutions vary but are often both push and pull: a push from your organization to grow revenues, gain competitive advantage, and further differentiate products and services, and a pull by the market looking for the latest technologies such as AI/ML, AR/VR, and digital twins for immediate business benefit.

Measurement 119

Measurement Digital Transformation Strategy Software 119

CIO Business Intelligence

FEBRUARY 16, 2024

Developing a data-led strategy The first, and most critical step in the process is accessing, integrating, and curating the underlying data that will be used to train and power AI models. According to an EXL Enterprise AI study , 74% of C-level leaders say data silos have been a barrier to enterprise-wide AI implementation.

Strategy 138

Strategy Insurance Digital Transformation Enterprise 138

IBM Big Data Hub

MARCH 4, 2024

We have all been witnessing the transformative power of generative artificial intelligence (AI), with the promise to reshape all aspects of human society and commerce while companies simultaneously grapple with acute business imperatives. We refer to this transformation as becoming an AI+ enterprise.

Enterprise 107

Enterprise ROI Risk Strategy 107

CIO Business Intelligence

DECEMBER 21, 2023

We have seen a lot of companies promising AI solutions for Cybersecurity in the Cloud, but let’s be clear: when it comes to AI in Cybersecurity, it is important to understand that not all AIs are created equal. Finally, in cybersecurity, AI must analyze and act on data in real-time, matching the pace of user activity.

Data-driven 105

Data-driven Risk Enterprise Cost-Benefit 105

DataKitchen

OCTOBER 28, 2021

Engineers unleashed artificial intelligence (AI) bias, and it will be engineers who design the solutions that eliminate it. Authors of an article published by McKinsey Global Institute assert that “more human vigilance is needed to critically analyze the unfair biases that can become baked in and scaled by AI systems.”

Testing 130

Testing IT Manufacturing Metrics 130

CIO Business Intelligence

FEBRUARY 26, 2024

Cold: Relying on tech skills alone The widespread adoption of AI means there will be less need for specifc skill sets, says Thomas Mehlkopf, head of working capital management at SAP and Taulia. For any AI model, you can’t interpret the relevance and reliability of the output if you don’t understand the context of the data.”

IT 128

IT Uncertainty Strategy Testing 128

CIO Business Intelligence

SEPTEMBER 12, 2022

We have shown out value,” Fazal says of the transformation. Fazal and his team have moved most of NJ Transit’s data to the cloud, evolving from simple reports to advanced analytics and AI/ML models that generate insights that transportation business analysts could only dream about in the past, he says. “We

Data Warehouse 116

Data Warehouse Predictive Analytics Data Lake IoT 116

bridgei2i

AUGUST 24, 2021

BRIDGEi2i Analytics Solutions, a trusted partner to enterprises globally, announced its inclusion in the ‘Leader’ category of the latest Penetration & Maturity Quadrant (PeMa) study conducted by Analytics India Magazine. To know more about the PeMa study, read the full report here. About BRIDGE i2i.

Data Science 52

Data Science Reporting Contextual Data Consulting 52

CIO Business Intelligence

JULY 20, 2023

I’ll never forget the look on my first mortgage clients’ faces as they signed for their new home – the joy and relief washing over them in equal measure. AI conversations ranked second in volume , with attention focused on AI-enabled banking applications and limiting potential harm from AI technology deployments.

Technology 98

Technology Finance Advertising Digital Transformation 98

O'Reilly on Data

MAY 18, 2020

All this change could wreak havoc on artificial intelligence (AI) systems. The most common types of AI systems are still only as good as their training data. If there’s no historical data that mirrors our current situation, we can expect our AI systems to falter , if not fail. What is an incident when it comes to an AI system?

Risk 359

Risk Modeling Data Processing Software 359

DataRobot Blog

SEPTEMBER 1, 2022

The latest McKinsey Global Survey on AI proves that AI adoption continues to grow and that the benefits remain significant. At the same time, AI remains complex and out of reach for many. Operational Efficiency with AI Inside. To prevent delays in productionalizing AI , many organizations invest in MLOps.

Metrics 145

Metrics Statistics Modeling Data Science 145

Ontotext

APRIL 3, 2024

Read about the latest use cases and trends in the Financial Services industry and learn how Generative AI and LLMs complement with key capabilities of knowledge graphs. It also can fuel various AI applications and we know that now everyone is interested in AI. Which is, “Show me the value. They are the best.”

Technology 59

Technology Risk Digital Transformation Measurement 59

DataRobot

JULY 16, 2021

Just as trust needs to be established in our personal and business relationships, it also needs to be established between an AI user and the system. Transformative technologies such as autonomous vehicles will be possible only when there are clear methods and benchmarks to establish trust in AI systems. Dimensions of Trust.

Machine Learning 98

Machine Learning Uncertainty Modeling Measurement 98

bridgei2i

FEBRUARY 22, 2021

BRIDGEi2i Analytics Solutions, a leading provider of AI-powered Analytics Solutions, announced that it had been recognized as a ‘LEADER’ among data service providers from a study by Analytics India Magazine(AIM). BRIDGEi2i receives this recognition for three consecutive years. To read the full press release, click here. About BRIDGE i2i.

Data Science 52

Data Science Contextual Data Consulting Digital Transformation 52

CIO Business Intelligence

NOVEMBER 6, 2023

The challenge is that the technology footprint — and our understanding of potentials and pitfalls — is still maturing, for instance with generative AI. Richárd Hruby, CIO and chief technology officer of CYQIQ, agrees that any discussion of AI adoption needs to begin with a focus on people.

IT 139

IT Risk Technology Measurement 139

CIO Business Intelligence

MAY 16, 2023

In six short months, ChatGPT propelled artificial intelligence (AI) into the minds and imaginations of the masses more than any other development since the term “AI” was coined in 1956. adult web users surveyed have used one or more generative AI tools. Conversations suggest that AI is already transforming most major industries.

Advertising 105

Advertising Recreation/Entertainment Experimentation Enterprise 105

Cloudera

DECEMBER 3, 2021

In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. An AI system trained on data has no context outside of that data. This involves identifying, quantifying and being able to measure ethical considerations while balancing these with performance objectives. Capturing Intent.

Uncertainty 97

Uncertainty Measurement Metrics Risk 97

bridgei2i

JUNE 23, 2021

4 Key Elements of Enterprise AI Strategy. Enterprise AI harnesses advanced artificial intelligence techniques to deliver organizational data, knowledge, and information. Enterprise AI automates the end-to-end journey from data to value. The AI maturity level of each organization differs.

Strategy 52

Strategy Enterprise Key Performance Indicator Digital Transformation 52

CIO Business Intelligence

JUNE 7, 2022

But the success of their AI initiatives depends on more than just data and technology — it’s also about having the right people on board. An effective enterprise AI team is a diverse group that encompasses far more than a handful of data scientists and engineers. Data scientists are the core of any AI team. Data scientist.

Machine Learning 145

Machine Learning Data Science Consulting Metrics 145

DataRobot

APRIL 5, 2021

Gone are the days when AI projects were cool science experiments, worked on exclusively by data scientists , far away from business world realities. Should you need a PhD to work on AI projects? Recent research shows that AI success requires much more than mathematics and coding. Include the C-Suite and Business Experts.

Uncertainty 96

Uncertainty Machine Learning Modeling Reporting 96

CIO Business Intelligence

JUNE 30, 2023

It’s well acknowledged that data, when used correctly, has the potential to be a strategic growth asset driving innovation – and with the recent developments in large language models (LLM) for AI, data is really having its day in the sun. If you don’t already have a mature, sophisticated strategy, you may have concerns.

Internet of Things 104

Internet of Things Strategy Risk Data Strategy 104

O'Reilly on Data

JUNE 18, 2019

AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners. Error detection, repairing and value imputation. The models are then used to spot errors and suggest the “most probable” values to replace. See this article on data integration status for details.

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

CIO Business Intelligence

OCTOBER 23, 2023

IT needs to think of the value proposition for the customer.” As for the second prong, “it is critical to build and deploy solutions that align with a specific revenue stream,” Palaniappan says, stressing the need for CIOs to seize on AI technologies, automation, and data. They’ve become product-centric or use-case centric,” he says.

IT 137

IT Consulting Scorecard Key Performance Indicator 137

Cloudera

NOVEMBER 15, 2021

If you’ve ever wondered how much data there is in the world, what types there are and what that means for AI and businesses, then keep reading! Generally speaking, structured data tends to have a more mature ecosystem for its analysis than unstructured data. Data facilitates, incentivizes, and challenges AI. Data annotation.

Unstructured Data 85

Unstructured Data Recreation/Entertainment Structured Data Reporting 85

IBM Big Data Hub

FEBRUARY 9, 2023

The primary goal of any data governance program is to deliver against prioritized business objectives and unlock the value of your data across your organization. Focus and prioritize what you’re delivering to the business, determine what you need, deliver and measure results, refine, expand, and deliver against the next priority objectives.

Data Governance 83

Data Governance Business Objectives Strategy Data Quality 83

DataRobot

APRIL 20, 2021

AI has moved from the realms of theoretical mathematics and advanced hardware to an everyday aspect of life, decisions big and small. As its development has accelerated and its use proliferated, our requirements for AI systems have gotten more sophisticated. At DataRobot , we define the benchmark of AI maturity as AI you can trust.

Measurement 52

Measurement Visualization Advertising Metrics 52

Sisense

JUNE 24, 2021

Organizations are now turning to digital innovations such as AI-infused analytics platforms to enhance and grow the knowledge of their teams and talent. A recent study by Learning Pool revealed 76% of mature metrics practices are enabled by technology that integrates data from multiple sources. Get insights from data faster!

Analytics 83

Analytics Measurement Dashboards Optimization 83

IBM Big Data Hub

OCTOBER 16, 2023

Artificial intelligence (AI) adoption is still in its early stages. 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. ” Are foundation models trustworthy?

Risk 77

Risk Modeling Management Metadata 77

CIO Business Intelligence

JUNE 8, 2023

Afterwards, he shared some more about the success factors that keep his team laser focused and consistently creating business value. Anu Khare: VSP stands for value, strategic fit, and passionate sponsor. First, we decided to focus on the value. Either value is missing, our strategic fit is missing, or timing is missing.

Manufacturing 98

Manufacturing Digital Transformation Strategy Sales 98

CIO Business Intelligence

MAY 20, 2022

The utility is about one third of the way through its cloud transition and is focused on moving customer data and workforce data to the cloud first to reap the most business value. We’re very mature in our data architecture and what we want. All of our investments are about value. It’s getting close.”.

IT 105

IT Digital Transformation Internet of Things Data Architecture 105

CIO Business Intelligence

FEBRUARY 8, 2024

Frank LaQuinta: As you mature as a leader, you find out a lot about yourself — what works, what doesn’t, what motivates others and yourself. Overall, it leads to a better Edward Jones, with elevated impact and value delivered to our stakeholders. This is never more evident in the world of AI.

Strategy 98

Strategy Experimentation Risk Technology 98

Decision Management Solutions

NOVEMBER 19, 2020

Artificial intelligence (AI) has the potential to transform businesses, and adoption is on the rise. A 2018 McKinsey global survey shows that 47% of organizations say they have “embedded at least one [AI capability] into their standard business processes, while another 30% report piloting the use of AI.”.

IT 52

IT Modeling Insurance Technology 52

CIO Business Intelligence

JUNE 13, 2022

She says she believes organizations of all kinds, including her own, should be advancing their use of data to move beyond measuring outputs and even measuring outcomes to “get to impact, to driving long-term delta change.”. Maturing the enterprise cloud strategy. Geopolitical impacts on the tech stack.

IT 144

IT Digital Transformation Strategy Internet of Things 144

Jen Stirrup

SEPTEMBER 3, 2021

Now, there have been comments over whether AI is entering another winter. Now, AI can help you to engage and then communicate with your customers in a way that feels natural and human-like. It’s also possible to view this collaboration as a continuum to measure how much customer visibility it would like AI to have.

B2B 111

B2B Digital Transformation Technology Marketing 111

Smart Data Collective

AUGUST 7, 2022

The country has taken a hands-off approach to regulation thus far, allowing the cryptocurrency industry to develop and mature without heavy-handed intervention from the government. For example, exchanges are required to implement know-your-customer (KYC) and anti-money laundering (AML) measures.

Analytics 102

Analytics Data Analytics Finance Analytics Technologies 102