CIO Business Intelligence

AUGUST 13, 2024

Unleashing deep automation: Evolving enterprise intelligence Deep automation transcends traditional automation approaches, offering a holistic, adaptive, and evolutive strategy at the enterprise and ecosystem level. It emphasizes end-to-end integration, intelligent design, and continuous learning.

Data-driven 126

Data-driven Metrics Optimization Deep Learning 126

Rocket-Powered Data Science

JULY 13, 2023

Data is more than just another digital asset of the modern enterprise. So, what happens when the data flows are not quarterly, or monthly, or even daily, but streaming in real-time? Well, it soon became clear that the real problem was the reverse: how can we have our business move at the speed of our data?

Analytics 167

Analytics Machine Learning Data Science Data Collection 167

CIO Business Intelligence

JUNE 15, 2022

In December 2021, the Canadian supercluster Scale AI announced that three of its four new research chairs in artificial intelligence would be located in Montréal: AI for urban mobility and logistics at HEC Montréal, data science for retail at McGill University, and data-driven supply chains at Polytechnique Montréal.

Deep Learning 145

Deep Learning Data-driven Data Science Publishing 145

datapine

MAY 14, 2019

“Big data is at the foundation of all the megatrends that are happening.” – Chris Lynch, big data expert. We live in a world saturated with data. Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek. Wondering which data science book to read?

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

CIO Business Intelligence

AUGUST 15, 2024

Generative AI has been hyped so much over the past two years that observers see an inevitable course correction ahead — one that should prompt CIOs to rethink their gen AI strategies. Many of those gen AI projects will fail because of poor data quality, inadequate risk controls, unclear business value , or escalating costs , Gartner predicts.

ROI 143

ROI Cost-Benefit Experimentation Deep Learning 143

Cloudera

AUGUST 1, 2024

The survey, ‘ The State of Enterprise AI and Modern Data Architecture ’ uncovered the challenges and barriers that exist with AI adoption, current enterprise AI deployment plans, and the state of data infrastructures and data management. Navigating the complexity of modern data landscapes brings its own set of challenges.

Data Architecture 86

Data Architecture Enterprise Cost-Benefit Deep Learning 86

CIO Business Intelligence

MAY 14, 2024

In past years, reporting fatal drug overdoses has largely been a paper- and human-driven process in King County, which shares the information with state and federal agencies. The ML models include classic ML and deep learning to predict category labels from the narrative text in reports.

Deep Learning 93

Deep Learning Machine Learning Reporting Experimentation 93

Data Science 101

JANUARY 29, 2020

Previously, we looked at some Challenges of Data Science Projects. Below are 3 techniques to help your next project become a data science success. Data science is no different. Monica Rogati, one of the early pioneers of data science, has put together a Data Science Hierarchy of Needs. Start with a Plan.

Data Science 129

Data Science Data Strategy Deep Learning Strategy 129

IBM Big Data Hub

FEBRUARY 19, 2024

Data monetization empowers organizations to use their data assets and artificial intelligence (AI) capabilities to create tangible economic value. This value exchange system uses data products to enhance business performance, gain a competitive advantage, and address industry challenges in response to market demand.

Cost-Benefit 63

Cost-Benefit Data-driven Optimization Marketing 63

Corinium

JUNE 6, 2019

Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers? Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. The data will enable companies to provide more personalized services and product choices.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Smart Data Collective

AUGUST 6, 2020

At Smart Data Collective, we have talked about a few impressive technological trends that are shaping modern business in the 21st-century. But how can AI really be incorporated into a video marketing strategy ? He found that AI-driven text to speech software was much more useful. Here are a few awesome ideas to consider.

Deep Learning 85

Deep Learning Visualization Data-driven Marketing 85

bridgei2i

OCTOBER 7, 2020

Adoption of Automated Sales & Underwriting Strategies can Transform Insurance. To catch up, underwriting which typically involved manual involvement in garnering data from documents has to change radically. Sometimes due to excessive volume of data, an underwriter can get confused and is unable to measure risk appropriately.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

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. For businesses like the McLaren Group, these two trends are at the core of the conglomerate’s digital transformation and competitive strategy, on and off the track. .

Manufacturing 116

Manufacturing Digital Transformation Predictive Analytics Strategy 116

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 112

Analytics Key Performance Indicator Data Warehouse Data-driven 112

Smart Data Collective

JANUARY 20, 2020

While marketers have been continually using the best possible strategies to improve the existing global blogging landscape, the inclusion of artificial intelligence has taken the ballgame to a whole different level. Moreover, AI pairs perfectly with Data Analytics which make room for vastly improved blogging efforts.

Deep Learning 99

Deep Learning ROI Data-driven Marketing 99

AWS Big Data

MAY 16, 2024

In this post, we discuss how Amazon Redshift spatial index functions such as Hexagonal hierarchical geospatial indexing system (or H3) can be used to represent spatial data using H3 indexing for fast spatial lookups at scale. Navigating the vast landscape of data-driven insights has always been an exciting endeavor.

Data Warehouse 112

Data Warehouse Visualization Cost-Benefit Optimization 112

IBM Big Data Hub

DECEMBER 5, 2023

Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content. This unstructured data forms the backbone for creating models and the ongoing training of generative AI, so it can stay effective over time. trillion on retail businesses through 2029. trillion in that year.

Unstructured Data 90

Unstructured Data Cost-Benefit Experimentation Machine Learning 90

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 110

Deep Learning Cost-Benefit Data-driven Manufacturing 110

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 131

Enterprise Deep Learning Recreation/Entertainment Interactive 131

datapine

AUGUST 14, 2019

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

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 95

Data-driven Deep Learning Risk Optimization 95

IBM Big Data Hub

APRIL 22, 2024

To drive real change, it’s crucial for individuals, industries, organizations and governments to work together, using data and technology to uncover new opportunities that will help advance sustainability initiatives across the globe. The world is behind on addressing climate change.

IoT 77

IoT Internet of Things Cost-Benefit Reporting 77

Smart Data Collective

JANUARY 14, 2022

Computer systems capable of learning, reasoning, and acting are still in the early stages. Machine learning needs massive amounts of data. While deployment is streamlined for businesses, providing AI with access to data and granting it any amount of autonomy raises significant concerns. Automated Attacks.

Machine Learning 125

Machine Learning Deep Learning Strategy Data-driven 125

Domino Data Lab

AUGUST 10, 2021

Models are the central output of data science, and they have tremendous power to transform companies, industries, and society. At the center of every machine learning or artificial intelligence application is the ML/AI model that is built with data, algorithms and code. Why Is Modeling Important?

Modeling 64

Modeling IT Risk Management Deep Learning 64

Occam's Razor

MARCH 30, 2017

Perhaps you now see why I’ve pivoted my career to Storytelling with data over the last couple of years. :). My personal strategy: Understand reality. Invest in continuous learning. The most conservative estimate is that AI driven changes are expected to replace 25% of jobs across the world, by 2026. Rinse and repeat.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

O'Reilly on Data

JULY 28, 2020

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Fair warning: if the business lacks metrics, it probably also lacks discipline about data infrastructure, collection, governance, and much more.) Agreeing on metrics.

Marketing 363

Marketing Experimentation Metrics Testing 363

IBM Big Data Hub

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. DL models can improve over time through further training and exposure to more data. These technologies enable systems to interact, learn from interactions, adapt and become more efficient.

Enterprise 95

Enterprise Interactive Data-driven Key Performance Indicator 95

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

Testing 304

Testing Machine Learning Consulting Data Quality 304

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 71

Machine Learning Manufacturing Cost-Benefit Deep Learning 71

IBM Big Data Hub

FEBRUARY 13, 2024

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types.

Enterprise 118

Enterprise Testing Modeling Data-driven 118

Smart Data Collective

MARCH 27, 2023

billion on AI in 2021 , but small businesses may spend even more on AI-driven financial management software. They have also started integrated computer vision and deep learning technology to identify inefficiencies. Many small businesses are investing in AI-driven financial management software.

Software 90

Software Finance Cost-Benefit Data-driven 90

Domino Data Lab

DECEMBER 17, 2019

This article provides concise insights into GANs to help data scientists and researchers assess whether to investigate GANs further. Unsurprisingly, this mainstream attention may also lead to data scientists and researchers fielding questions about, or assessing, whether to leverage GANs in their own workflows. Introduction.

Deep Learning 64

Deep Learning Machine Learning Modeling Statistics 64

Jet Global

AUGUST 24, 2020

iVEDiX was selected to service the Longview Analytics market in this extended partnership because of their unique history with current customers and their deep understanding of the platform, BI strategy, and customer needs. About iVEDiX. For more information, please visit the company’s website at ivedix.com.

IoT 80

IoT Analytics Deep Learning Digital Transformation 80

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 105

Machine Learning Statistics Recreation/Entertainment Data Science 105

BizAcuity

MARCH 31, 2022

There have been so many articles published about AI and its applications, you can find millions of articles from broad concepts to deep technical literature on the internet. You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. These industries accumulate ridiculous amounts of data on a daily basis.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Smart Data Collective

MAY 2, 2019

Large companies around the world are investing in big data. Big data has been especially important for optimizing their marketing campaigns. Local marketing agencies have discovered that SEO is more dependent on big data than ever. They are developing more data driven solutions to offer better search marketing strategies.

Big Data 111

Big Data Optimization Modeling Deep Learning 111