CIO Business Intelligence

JUNE 1, 2022

To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI).

Deep Learning 105

Deep Learning Snapshot Optimization Data Quality 105

CIO Business Intelligence

JUNE 1, 2022

Racing car design innovation and racing strategy are now dominated by what McLaren engineers call condition-based insights derived from real-time data feeds from hundreds of sensors in cars and the use of digital twins ? and artificial intelligence (AI) and machine learning (ML) technologies. . IT Leadership

Manufacturing 119

Manufacturing Digital Transformation Predictive Analytics Strategy 119

CIO Business Intelligence

JUNE 21, 2022

Real-time big data analytics, deep learning, and modeling and simulation are newer uses of HPC that governments are embracing for a variety of applications. Big data analytics is being used to uncover crimes. Just starting out with analytics? Find out more about Intel advanced analytics.

Deep Learning 111

Deep Learning Big Data ROI Software 111

CIO Business Intelligence

JUNE 7, 2022

But only in recent years, with the growth of the web, cloud computing, hyperscale data centers, machine learning, neural networks, deep learning, and powerful servers with blazing fast processors, has it been possible for NLP algorithms to thrive in business environments. Just starting out with analytics?

Unstructured Data 98

Unstructured Data Deep Learning Insurance Interactive 98

CIO Business Intelligence

JANUARY 4, 2023

Of course, data center challenges are also driving demand for these alternatives. Workflow Optimization from Edge to Core/Cloud and Back : Integration with edge devices as well as integration with different HPC systems is currently designed in-house or otherwise customized. Just starting out with analytics? IT Leadership.

Cost-Benefit 59

Cost-Benefit Machine Learning Modeling Uncertainty 59

CIO Business Intelligence

APRIL 11, 2022

Using artificial intelligence (AI) and machine learning, more than 1.9 To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use. Just starting out with analytics? Processes’ is an understatement.

Deep Learning 59

Deep Learning Strategy Risk Data Quality 59

Cloudera

MAY 28, 2019

Gartner states that “By 2022, 75% of new end-user solutions leveraging machine learning (ML) and AI techniques will be built with commercial instead of open source platforms” ¹. Spoiler alert: it’s not because data scientists will stop relying on open source for the latest innovation in ML algorithms and development environments.

Data Science 49

Data Science Machine Learning Data Strategy Cost-Benefit 49

CIO Business Intelligence

MAY 16, 2022

The data gathered from cameras and sensors as part of a computer vision system, along with machine learning, make it easier to find missing persons and to identify people who are not allowed to be in a venue. Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality?

Recreation/Entertainment 104

Recreation/Entertainment Broadcasting Cost-Benefit Advertising 104

CIO Business Intelligence

APRIL 4, 2022

Their legacy databases could not analyze the volumes of data fast enough to block fraudulent activities without negatively impacting their responsiveness. . Deep link analytics combined with real-time analysis and machine learning provide a robust platform for detecting and preventing fraud.

Technology 52

Technology Deep Learning Cost-Benefit Data Quality 52

CIO Business Intelligence

MARCH 9, 2022

They conveniently store data in a flat architecture that can be queried in aggregate and offer the speed and lower cost required for big data analytics. On the other hand, they don’t support transactions or enforce data quality. Each ETL step risks introducing failures or bugs that reduce data quality. .

Data Lake 119

Data Lake Unstructured Data Data Warehouse Data Quality 119

Timo Elliott

JANUARY 22, 2019

2019 is the year that analytics technology starts delivering what users have been dreaming about for over forty years — easy, natural access to reliable business information. Machine learning everywhere. Embedded analytics accelerates. Cloud analytics adoption skyrockets. New experience analytics.

Analytics 89

Analytics Machine Learning Unstructured Data Digital Transformation 89

CIO Business Intelligence

APRIL 12, 2022

Computer vision is helping to reshape the transportation industry at every level from streamlining the passenger experience to preemptive fleet maintenance to fuel optimization. In addition, safety is a key requirement across rail, water, air, and roadways, often requiring split-second decisions that can often be enhanced by machine learning.

IT 72

IT Cost-Benefit IoT Machine Learning 72

Grooper

AUGUST 19, 2019

They're the insights needed for better decision making, and they start with the business, not with the data. It's not about the technology - or solving the data silo problem. Business Focus is Required for Success with Transformative Analytics Technologies. Increasing data literacy is the answer.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

CIO Business Intelligence

JANUARY 31, 2023

Likewise, greater interest in vehicle-to-grid (V2G) technologies and smart appliances is adding complexity in terms of power flows that necessitate more intelligent metering at the edge. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI).

Deep Learning 111

Deep Learning Cost-Benefit Data-driven Manufacturing 111

CIO Business Intelligence

MARCH 22, 2022

Business units can bring in their own data, and access the superset of data aggregated from all the other different sources. . Becoming data-driven and automating with AI and machine learning (ML) algorithms can seem overwhelming. Just starting out with analytics? Start small with AI.

Analytics 115

Analytics Key Performance Indicator Data Warehouse Data-driven 115

CIO Business Intelligence

JANUARY 20, 2023

Blocking the move to a more AI-centric infrastructure, the survey noted, are concerns about cost and strategy plus overly complex existing data environments and infrastructure. Though experts agree on the difficulty of deploying new platforms across an enterprise, there are options for optimizing the value of AI and analytics projects. [2]

Analytics 137

Analytics Key Performance Indicator Unstructured Data IoT 137