bridgei2i

JUNE 23, 2021

PODCAST: Exploring Data, Digital and Artificial Intelligence through a Holistic Lens. Exploring Data, Digital and Artificial Intelligence through a Holistic Lens. In the latest episode of ‘The Data Strategy Show’, host Samir Sharma engages Prithvijit(Jit) Roy and Pritam K Paul, Co-Founders of BRIDGEi2i, in a riveting discussion.

Strategy 52

Strategy Enterprise Statistics Digital Transformation 52

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. Hence, before you onboard the AI solution, you need to address the data quality issues.

Strategy 52

Strategy Enterprise Key Performance Indicator ROI 52

CIO Business Intelligence

APRIL 4, 2024

To keep up, Redmond formed a steering committee to identify opportunities based on business objectives, and whittled a long list of prospective projects down to about a dozen that range from inventory and supply chain management to sales forecasting. “We Webster Bank is following a similar strategy. Diasio agrees.

Enterprise 132

Enterprise Cost-Benefit Forecasting Sales 132

Rocket-Powered Data Science

MARCH 19, 2021

Focus on specific data types: e.g., time series, video, audio, images, streaming text (such as social media or online chat channels), network logs, supply chain tracking (e.g., RFID), inventory monitoring (SKU / UPC tracking).

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”). Source: [link]

Analytics 167

Analytics Machine Learning Data Science Deep Learning 167

Cloudera

JANUARY 30, 2024

Demand forecasting: AI can be used to forecast demand for products based on historical data, trends, and external factors such as weather, holidays, seasonality, and market conditions. Trusted AI begins with trusted data What resolves the data challenge and fuels data-driven AI in manufacturing?

Manufacturing 79

Manufacturing Contextual Data IoT Digital Transformation 79

AWS Big Data

FEBRUARY 1, 2023

This introduces the need for both polling and pushing the data to access and analyze in near-real time. Implementation strategy Based on these requirements, we changed strategies and started analyzing each issue to identify the solution. Before the implementation of this system, one dataset took 1 month to onboard.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Smart Data Collective

FEBRUARY 20, 2022

One survey published on CIO found that less than a third of companies have reported that big data has buy-in from top executives. If you are running a business that has not yet adapted a data strategy, you should keep reading. You will get a better sense of the reasons that you should make investing in big data a top priority.

Big Data 111

Big Data Management Finance Data-driven 111

Smart Data Collective

JULY 26, 2023

Big data has become an invaluable aspect to most modern businesses. Nevertheless, many companies have been reluctant to Harvard Business Review reports that only 30% of businesses have a data strategy. However, companies with data strategies are far more successful than those without.

Data-driven 74

Data-driven Management Sales Big Data 74

CIO Business Intelligence

MARCH 21, 2022

It’s especially poignant when we consider the extent to which financial data can steer business strategy for the better. Data virtualization – integrating data from multiple sources, across multiple applications and in multiple formats – provides a clear path to information unity here. Inaccurate forecasts.

Data-driven 111

Data-driven IT Finance Forecasting 111

CIO Business Intelligence

JANUARY 24, 2024

Elevating IT To modernize Gilbane’s architecture, Higgins-Carter and her peers had to elevate innovation and technology as a core strategy for the company. You have to forecast this to your executive team and continue to remind them of why we’ve chosen this strategy. Put your data strategy in business turns.

Risk Management 106

Risk Management Risk Management Digital Transformation 106

IBM Big Data Hub

SEPTEMBER 19, 2023

How effectively and efficiently an organization can conduct data analytics is determined by its data strategy and data architecture , which allows an organization, its users and its applications to access different types of data regardless of where that data resides.

Data Science 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

IBM Big Data Hub

OCTOBER 4, 2023

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy. Why does AI need an open data lakehouse architecture?

Data Lake 81

Data Lake Metadata Cost-Benefit Data Warehouse 81

Cloudera

JULY 20, 2021

Technology drives the ability to use enterprise data to make choices, decisions and investments – which then produce competitive advantage. Once companies are able to leverage their data they’re then able to fuel machine learning and analytics models, transforming their business by embedding AI into every aspect of their business. .

Manufacturing 104

Manufacturing Forecasting IoT Insurance 104

bridgei2i

MAY 27, 2021

PODCAST: Exploring Data, Digital and Artificial Intelligence through a Holistic Lens. Exploring Data, Digital and Artificial Intelligence through a Holistic Lens. In the latest episode of ‘The Data Strategy Show’, host Samir Sharma engages Prithvijit(Jit) Roy and Pritam K Paul, Co-Founders of BRIDGEi2i, in a riveting discussion.

Statistics 98

Statistics Digital Transformation Data Processing Forecasting 98

BizAcuity

MARCH 31, 2022

AI Adoption and Data Strategy. Lack of a solid data strategy. For the first, it is in best interest to do your own research, talk to friends, professionals and approach data services companies like ours. Data strategy allows you to build a roadmap to adopt AI. (Source: PwC). Applications of AI.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. To do so they require data, which is in no shortage. The challenges they encounter are understanding what data is indicative of site performance.

Optimization 57

Optimization Forecasting Data-driven Strategy 57

Smart Data Collective

MARCH 2, 2023

Big data technology can significantly improve the company’s pricing strategy. Walter Bater and his colleagues at McKinsey wrote an article on the benefits data-driven pricing provides. More advanced predictive analytics tools consider economic conditions when forecasting customer purchasing patterns.

Big Data 81

Big Data Uncertainty Risk Data mining 81

IBM Big Data Hub

SEPTEMBER 19, 2023

Through live data analysis and predictive forecasting, AI tools can help employees working in network operations centers and network engineers to mitigate congestion and downtime. AI relies on data, but many organizations still operate various siloed repositories.

Cost-Benefit 113

Cost-Benefit Optimization Interactive Enterprise 113

CIO Business Intelligence

JANUARY 12, 2024

And a lot of that comes down to the vast amounts of customer data CRM systems contain and their capabilities for pulling insights from that data through AI and machine learning — functionality that is becoming increasingly vital for enterprises across nearly every industry. It is growing into a C-level business imperative.”

Sales 122

Sales Marketing Data-driven Interactive 122

Smart Data Collective

JANUARY 9, 2023

By strategically taking advantage of these innovative technologies to glean powerful insights from data, organizations can truly maximize the value of the data that they have access to. Here is a strategic approach to maximize your data’s value. Accurately Informing Marketing Strategies. What Is AI and Machine Learning?

Machine Learning 125

Machine Learning Software Strategy Marketing 125

CIO Business Intelligence

APRIL 7, 2023

Most notably, for about 71% of IT leaders, angst about security creates a barrier to adoption, mandating that approaches, infrastructure, data strategies and security be appropriately aligned 3. Consequently, handling this data in a secure manner will become even more important than it is today. At the same time, concerns exist.

Enterprise 105

Enterprise Cost-Benefit Modeling Digital Transformation 105

CIO Business Intelligence

OCTOBER 4, 2022

Line of business owns the customer experience, but IT is a critical partner to the business,” says Miriam McLemore, Director of Enterprise Strategy and Evangelism with AWS. Embed CX into your data strategy. Most business and IT leaders understand the value of getting closer to customers. Consider three key areas of focus: 1.

Data-driven 104

Data-driven Machine Learning Interactive Predictive Analytics 104

Smart Data Collective

DECEMBER 22, 2021

Big data technology is one of the most important forms of technology that new startups must use to gain a competitive edge. The success of your startup might depend on your ability to use big data to your full advantage. The right data strategy can help your startup become profitable.

Big Data 136

Big Data Data mining Data-driven Predictive Analytics 136

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. Which pricing strategies lead to the best business revenue? ” “Just 26.5% ” “91.9%

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

TDAN

JUNE 15, 2022

Given that the global big data market is forecast to be valued at $103 billion in 2027, it’s worth noticing. As the amount of data generated […]. “Information is the oil of the 21st century, and analytics is the combustion engine,” says Peter Sondergaard, former Global Head of Research at Gartner. And he has a point.

Data mining 98

Data mining Forecasting Big Data Marketing 98

TDAN

FEBRUARY 16, 2022

The global master data management (MDM) market is estimated to grow from USD 1.6 billion by 2024, with the multi domain MDM solution segment expected to grow at the highest CAGR during this forecast period. Traditional MDM systems are purpose-built for a single type of data or domain. billion in 2019 to USD 3.4

Management 105

Management Forecasting Marketing Data Strategy 105

CIO Business Intelligence

MARCH 9, 2022

In reviewing our positioning as a mid-sized carrier, our governance and way of thinking has had to change,” says Dr Reem Alaya Lebhar, director of Strategy, Management & Portfolio Governance at Etihad. Etihad began its data science journey with the Cloudera Data Platform and moved its data to the cloud to set up a data lake.

Data Science 93

Data Science Data Lake Cost-Benefit Digital Transformation 93

Sisense

MARCH 24, 2020

Predict: Lastly, look to forecast trends in supply and demand and track fast-moving changes in leading indicators. To foster the art of the possible, below are examples of how regular businesses use analytics to maximize customer revenue, reduce costs, forecast outcomes, and drive efficiency. Create transparency, reduce overhead.

Analytics 94

Analytics Sales Forecasting Business Intelligence 94

AWS Big Data

JULY 13, 2023

This allows for transparency, speed to action, and collaboration across the group while enabling the platform team to evangelize the use of data: Altron engaged with AWS to seek advice on their data strategy and cloud modernization to bring their vision to fruition.

Optimization 92

Optimization B2B Data Quality Sales 92

CIO Business Intelligence

FEBRUARY 16, 2023

“As the information layer gets mature, that’s where the ML and the AI will start seeing some green shoots,” he says, adding that although data transformation was a pressing need when he signed on in 2021, he wanted a more compelling vision to sell the board and business leaders on tackling it. The offensive side?

Unstructured Data 104

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 104

bridgei2i

APRIL 28, 2020

My name is Aruna Babu and I’m a transformation consultant who spent a good part of the last decade crafting strategy that marries business, technology and user needs. One real challenge that we’re seeing is the focus on forecasting. Let’s talk about forecasting for a moment. Aruna: Got it.

Enterprise 103

Enterprise Data Analytics Analytics Forecasting 103

BizAcuity

APRIL 14, 2022

Be it supply chain resilience, staff management, trend identification, budget planning, risk and fraud management, big data increases efficiency by making data-driven predictions and forecasts. With adequate market intelligence, big data analytics can be used for unearthing scope for product improvement or innovation.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

TDAN

JULY 18, 2023

Businesses today rely on real-time big data analytics to handle the vast and complex clusters of datasets. Here’s the state of big data today: The forecasted market value of big data will reach $650 billion by 2029.

Big Data 52

Big Data Data Analytics Analytics Forecasting 52

Alation

MARCH 21, 2023

As an industry with tight margins, travel and tourism companies can use analytics to detect trends that help them reduce costs, decide future product and service offerings, and develop successful business strategies. What are common data challenges for the travel industry? Curious to see Alation in action?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

CIO Business Intelligence

JULY 18, 2022

“If you have your data in different tools, based on a private cloud or public cloud, you’re going to run into barriers,” notes Pat Reardon, director, HPE GreenLake ISV ecosystem. Managing those environments separately is inefficient and creates data silos that make it hard to advance a singular data strategy.

Cost-Benefit 78

Cost-Benefit Data Lake Data Warehouse Enterprise 78

Sisense

MAY 20, 2021

Data and analytics are proving more important to companies’ strategies than ever before, according to a survey by Harvard Business Review Analytic Services. However, many organizations still fall short of achieving their analytics goals, owing to a skills gap and issues with data access and usage.

Analytics 98

Analytics Data-driven Strategy Measurement 98