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.

Analytics 89

Analytics Machine Learning Unstructured Data Digital Transformation 89

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. .

Manufacturing 108

Manufacturing Digital Transformation Predictive Analytics Strategy 108

CIO Business Intelligence

APRIL 6, 2022

By giving leadership at all levels more timely access to critical data about business operations, businesses can see more of their options, make and automate better decisions, and further improve efficiency to drive higher customer satisfaction and profitability. Just starting out with analytics?

Data mining 71

Data mining Deep Learning Insurance Digital Transformation 71

Smarten

DECEMBER 3, 2023

Why is augmented analytics an important factor in your success? Executives tend to look at technology from the lens of expense and time, and your team is probably no different. ‘It It is crucial to present the benefits and advantages of augmented analytics when requesting project approval from your management team.’

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

CIO Business Intelligence

APRIL 11, 2022

The smart city solution incorporates video and sound data inputs from the area, integrated with publicly available, historical data sources, such as crime, weather and social media data. This combination allows the solution to apply advanced analytical processing to facilitate safety decision making.

IoT 145

IoT Measurement Cost-Benefit Deep Learning 145

CIO Business Intelligence

MARCH 14, 2022

It is also the foundation of predictive analysis, artificial intelligence (AI), and machine learning (ML). Real-time Data Scaling Challenges. Several factors make such scaling difficult: Massive Data Growth: Global data creation is projected to exceed 180 zettabytes by 2025. Just starting out with analytics?

Data Processing 114

Data Processing Optimization Deep Learning Software 114

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 102

Deep Learning Big Data ROI Software 102

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 92

Unstructured Data Deep Learning Insurance Interactive 92

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 104

Analytics Key Performance Indicator Data Warehouse Data-driven 104

CIO Business Intelligence

JANUARY 4, 2023

Moving forward, we will see workflows that are more capable and widely adopted to facilitate edge-core-cloud needs like generating meshes, performing 3D simulations, performing post-simulation data analysis, and feeding data into machine learning models—which support, guide, and in some case replace the need for simulation.

Cost-Benefit 58

Cost-Benefit Machine Learning Modeling Uncertainty 58

CIO Business Intelligence

JUNE 1, 2022

Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality?

Deep Learning 93

Deep Learning Snapshot Optimization Data Quality 93

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

APRIL 11, 2022

Using artificial intelligence (AI) and machine learning, more than 1.9 Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Just starting out with analytics? Processes’ is an understatement.

Deep Learning 58

Deep Learning Strategy Risk Data Quality 58

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. Algorithms.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

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

Jedox

FEBRUARY 13, 2020

A further goal is also the extensive automation of routine tasks in order to gain more freedom for strategic analyses and data interpretation. This can be achieved with new tools from the fields of AI and machine learning. Data management and data integration as the basis for advanced analytics.

Forecasting 58

Forecasting Predictive Analytics Sales Data Integration 58

CIO Business Intelligence

APRIL 12, 2022

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. Computer vision is truly transforming the transportation industry, aided by automation, touchless technologies and 5G. Just starting out with analytics?

IT 71

IT Cost-Benefit IoT Machine Learning 71

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 88

Recreation/Entertainment Broadcasting Cost-Benefit Advertising 88

datapine

AUGUST 29, 2022

And shows how big data and the advances in analytical technologies are shaping the way the world is perceived. 2) Designing Data-Intensive Applications by Martin Kleppman. , Microsoft, Alibaba, Taobao, WebMD, Spotify, Yelp” according to Marz himself. 5) Data Analytics Made Accessible, by Dr. Anil Maheshwari.

Big Data 263

Big Data Data Analytics Analytics Data mining 263