CIO Business Intelligence

JANUARY 25, 2024

With two decades of experience as a human resources leader, Deepa Subbaiah, a senior director for HR at Freshworks, has deep expertise in exploring how enterprise teams can get the most out of workplace tech, from first-generation SaaS applications in the early 2000s to today’s AI-powered chatbots. Make it appealing and relevant to me.”

Deep Learning 99

Deep Learning Cost-Benefit Statistics Manufacturing 99

CIO Business Intelligence

SEPTEMBER 19, 2023

Airbnb is one company using AI to optimize pricing on AWS, utilizing AI to manage capacity, to build custom cost and usage data tools, and to optimize storage and computing capacity. For other companies, AI use in customer service has also been driven by consumer’s increased expectations.

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

CIO Business Intelligence

MARCH 22, 2022

Most organizations have come to understand the importance of being data-driven. To compete in a digital economy, it’s essential to base decisions and actions on accurate data, both real-time and historical. But the sheer volume of the world’s data is expected to nearly triple between 2020 and 2025 to a whopping 180 zettabytes.

Analytics 96

Analytics Key Performance Indicator Data Warehouse Data-driven 96

Birst BI

NOVEMBER 20, 2018

When you hear about Data Science, Big Data, Analytics, Artificial Intelligence, Machine Learning, or Deep Learning, you may end up feeling a bit confused about what these terms mean. And most importantly, what can this do for your business? And most importantly, what can this do for your business?

Statistics 84

Statistics Machine Learning Deep Learning Optimization 84

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 73

Machine Learning Manufacturing Cost-Benefit Deep Learning 73

CIO Business Intelligence

JANUARY 23, 2023

the OpenAI model on which ChatGPT is based, is an example of a transformer, a deep learning technique developed by Google in 2017 to tackle problems in natural language processing. Prompted to describe its limitations, ChatGPT said, “Its performance can be affected by the quality and quantity of the training data.

Enterprise 130

Enterprise Deep Learning Recreation/Entertainment Interactive 130

IBM Big Data Hub

NOVEMBER 14, 2023

Data monetization is a business capability where an organization can create and realize value from data and artificial intelligence (AI) assets. A value exchange system built on data products can drive business growth for your organization and gain competitive advantage.

Strategy 106

Strategy Cost-Benefit Data-driven Measurement 106

CIO Business Intelligence

APRIL 27, 2022

As a technology company you can imagine how easy it is to think of data-first modernization as a technology challenge. Data fabric, data cleansing and tagging, data models, containers, inference at the edge – cloud-enabled platforms are all “go-to” conversation points. and “how to do it?” and “how to do it?”,

Strategy 136

Strategy Data-driven Internet of Things Measurement 136

CIO Business Intelligence

SEPTEMBER 7, 2022

Dubbed Cropin Cloud, the suite comes with the ability to ingest and process data, run machine learning models for quick analysis and decision making, and several applications specific to the industry’s needs. The suite, according to the company, consists of three layers: Cropin Apps, the Cropin Data Hub and Cropin Intelligence.

B2B 86

B2B Contextual Data IoT Deep Learning 86

Cloudera

NOVEMBER 19, 2020

Furthermore, the same tools that empower cybercrime can drive fraudulent use of public-sector data as well as fraudulent access to government systems. In financial services, another highly regulated, data-intensive industry, some 80 percent of industry experts say artificial intelligence is helping to reduce fraud.

Machine Learning 117

Machine Learning Data-driven Modeling Deep Learning 117

CIO Business Intelligence

JANUARY 31, 2023

These changes bring new challenges, but advancements in IT automation, artificial intelligence (AI) and machine learning (ML), and edge-computing capabilities will play a key role. To control and harness technology’s potential, utilities will require OT modernization to leverage vast amounts of real-time data.

Deep Learning 99

Deep Learning Cost-Benefit Data-driven Manufacturing 99

CIO Business Intelligence

JANUARY 26, 2024

Artificial Intelligence (AI) is a fast-growing and evolving field, and data scientists with AI skills are in high demand. If you want to grow your data scientist career and capitalize on the demand for the role, you might consider getting a graduate degree in AI.

Machine Learning 100

Machine Learning Statistics Recreation/Entertainment Data Science 100

CIO Business Intelligence

APRIL 1, 2022

Converge Technology Solutions helps its client generate real value from data by building custom AI solutions with Dell infrastructure. For example, Converge worked with an international bank to create AI-driven search incorporating natural language processing to help staff find resources they need easier and faster.

Data-driven 82

Data-driven Deep Learning Risk Optimization 82

CIO Business Intelligence

JUNE 2, 2022

Among the hot technologies, artificial intelligence and machine learning — a subset of AI that that makes more accurate forecasts and analysis as it ingests data — continue to be of high interest as banks keep a strong focus on costs while trying to boost customer experience and revenue.

Predictive Analytics 142

Predictive Analytics Technology Analytics Machine Learning 142

datapine

NOVEMBER 19, 2019

No matter if you need to conduct quick online data analysis or gather enormous volumes of data, this technology will make a significant impact in the future. While we’ve seen traces of this in 2019, it’s in 2020 that computer vision will make a significant mark in both the consumer and business world.

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

JUNE 1, 2022

The company is applying winning insights from rapid, data-driven, evolutionary models versus relying on engine speed and aerodynamics alone to win races. Like professional basketball, industrial-scale farming, national politics, and global merchandising, auto racing has become a data science. Using Data to Generate Simulations.

Manufacturing 101

Manufacturing Digital Transformation Predictive Analytics Strategy 101

IBM Big Data Hub

SEPTEMBER 6, 2023

From customized content creation to task automation and data analysis, AI has seemingly endless applications when it comes to marketing, but also some potential risks. More accurate measurement of KPIs: Digital campaigns generate more data than humans can keep up with, which can make measuring the success of marketing initiatives difficult.

Marketing 80

Marketing Technology Advertising ROI 80

CIO Business Intelligence

JUNE 22, 2022

Drive insight with data-driven visualization. In the process of trying to better understand our customers and their needs, we collect a lot of data about them. The privacy of customers is very important and therefore we need to ensure that all data is well protected. Start with a transformative vision.

Digital Transformation 95

Digital Transformation Visualization Technology Marketing 95

CIO Business Intelligence

MAY 27, 2024

Per navigare in questo panorama complesso, dove lo sviluppo delle innovazioni chiave è centralizzato, ci siamo imposti di essere purpose-driven, non solo tech-driven”, evidenzia la CTO di Sky Italia, Gabriella Vacca. Al tempo stesso, è aumentata l’integrazione con il Gruppo Sky nel Regno Unito e con la statunitense Comcast.

Visualization 52

Visualization Data-driven Deep Learning Digital Transformation 52

CIO Business Intelligence

MAY 20, 2022

Artificial Intelligence (AI) is a fast-growing and evolving field, and data scientists with AI skills are in high demand. If you want to grow your data scientist career and capitalize on the demand for the role, you might consider getting a graduate degree in AI. University of California–Berkeley. University of Texas–Austin.

Machine Learning 144

Machine Learning Statistics Recreation/Entertainment Data Science 144

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. Predict the impact of new policies, laws, and regulations on businesses and markets.

Predictive Analytics 140

Predictive Analytics Analytics Predictive Modeling Forecasting 140

AWS Big Data

OCTOBER 26, 2023

times better price-performance than other cloud data warehouses on real-world workloads using advanced techniques like concurrency scaling to support hundreds of concurrent users, enhanced string encoding for faster query performance, and Amazon Redshift Serverless performance enhancements. Amazon Redshift delivers up to 4.9

Data Warehouse 98

Data Warehouse Cost-Benefit Dashboards Optimization 98

CIO Business Intelligence

APRIL 13, 2023

Deep learning models, for example, can have thousands or even millions of parameters. Referenceable data. Training data must be referenceable and audited for quality control. (You can even ask ChatGPT about this.) Here are some key guidelines: Model simplification.

Modeling 64

Modeling Deep Learning Data-driven Data Processing 64

CIO Business Intelligence

APRIL 15, 2022

In 2017, The Economist declared that data, rather than oil, had become the world’s most valuable resource. Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. The algorithm learned to identify children, not high-risk patients.

Analytics 144

Analytics Machine Learning Insurance Testing 144

CIO Business Intelligence

JANUARY 20, 2023

Notably, businesses are adopting virtual desktop infrastructure (VDI) as a way to keep data secure, teams collaborative, and staff productive while reducing costs. Driven by the growth of cloud-based technologies, the global VDI market is projected to reach a value of more than USD78 billion by 2030. [3]

Technology 57

Technology Cost-Benefit Deep Learning Modeling 57

Alation

APRIL 14, 2022

Moving data to the cloud can bring immense operational benefits. However, the sheer volume and complexity of today’s enterprise data can cause downstream headaches for data users. Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. Data pipeline orchestration.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

CIO Business Intelligence

JUNE 2, 2022

HPC5’s performance level enables sophisticated in-house algorithms to process subsoil data, as well as geophysical and seismic information from around the world. Data analytics is the key to unlocking the most value you can extract from data across your organization. Rmax [TFlop/s], 51,720.76 Rpeak (TFlop/s], and 860.32

Informatics 85

Informatics Modeling Testing Technology 85

CIO Business Intelligence

JANUARY 4, 2023

Cloud, sustainability, scale, and exponential data growth—these major factors that set the tone for high performance computing (HPC) in 2022 will also be key in driving innovation for 2023. As leaders in the HPC industry, we are worried about how to cool these data centers. Another big focus is on liquid cooling. [2]

Cost-Benefit 57

Cost-Benefit Machine Learning Modeling Uncertainty 57

CIO Business Intelligence

MARCH 30, 2022

For organizations looking to move beyond stale reports, decision intelligence holds promise, giving them the ability to process large amounts of data with a sophisticated mix of tools such as artificial intelligence and machine learning to transform data dashboards and business analytics into more comprehensive decision support platforms.

Machine Learning 144

Machine Learning Testing Risk Data-driven 144

CIO Business Intelligence

MAY 16, 2022

Data-driven venues from sporting events and concerts to other live events are helping to bolster the entertainment industry while simultaneously helping to ensure a safer environment for all. . It all boils down to using data efficiently. at the edge rather than the data center ?

Recreation/Entertainment 81

Recreation/Entertainment Broadcasting Cost-Benefit Advertising 81

CIO Business Intelligence

APRIL 12, 2022

As the transportation industry continues to evolve, converging technologies such as 5G and powerful edge compute will enable the next generation of prescriptive and adaptive data-driven outcomes benefiting passengers, the industry and sustainability. Whether moving people or goods, transportation environments are in constant motion.

IT 70

IT Cost-Benefit IoT Machine Learning 70

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Grow Your Business: Commonwealth Bank of Australia.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20