CIO Business Intelligence

JUNE 13, 2022

A Forrester report commissioned by vendor ADA found that 95% of financial firms would like their chatbots to understand customer history with the company. Some conversational AI implementations rely heavily on ML tools that incorporate neural networks and deep learning techniques. Just starting out with analytics?

Data Processing 100

Data Processing Deep Learning Insurance Cost-Benefit 100

CIO Business Intelligence

APRIL 6, 2022

For example, Dell Technologies Validated Designs for Splunk power AIOps by gathering real-time data, mining it for insights, and then delivering these insights to management. The process is further simplified through predefined workflows, dashboards and automatic reports that adapt to specific environments and applications.

Data mining 72

Data mining Deep Learning Insurance Digital Transformation 72

CIO Business Intelligence

JUNE 2, 2022

The results, reported in the Journal of the Royal Society Interface , “demonstrate that it is possible to use robotics and artificial intelligence to help address the reproducibility crisis.”. Ready to evolve your analytics strategy or improve your data quality? Just starting out with analytics?

Machine Learning 141

Machine Learning Deep Learning Data Quality Strategy 141

O'Reilly on Data

JULY 28, 2020

Many companies face a problem that’s even worse: no one knows which levers contribute to the metrics that impact business outcomes, or which metrics are important to the company (such as those reported to Wall Street by publicly-traded companies). Data Quality and Standardization. If the product isn’t “viable” (i.e.,

Marketing 362

Marketing Experimentation Metrics Testing 362

Cloudera

NOVEMBER 15, 2021

The rate of data growth is reflected in the proliferation of storage centres. For example, the number of hyperscale centres is reported to have doubled between 2015 and 2020. And data moves around. Cisco estimates that global IP data traffic has grown 3-fold between 2016 and 2021, reaching 3.3 of that data is analysed.

Unstructured Data 85

Unstructured Data Recreation/Entertainment Structured Data Reporting 85

Smart Data Collective

AUGUST 26, 2021

Deep learning technology is changing the future of small businesses around the world. A growing number of small businesses are using deep learning technology to address some of their most pressing challenges. New advances in deep learning are integrated into various accounting algorithms.

Deep Learning 95

Deep Learning Finance Cost-Benefit Advertising 95

datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. Our Top Data Science Tools.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

APRIL 11, 2022

The amount of money lost to card-not-present fraud in 2020 was six times greater than what merchants lost in 2019, according to the Nilson Report. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI).

Deep Learning 59

Deep Learning Strategy Risk Data Quality 59

CIO Business Intelligence

JANUARY 20, 2023

While more than half of C-suite executives agree on the need to reimagine workforce models, only a quarter feel their organizations are ready to address the evolving environment, according to Deloitte’s 2023 Global Human Capital Trends report. [2] Ready to evolve your analytics strategy or improve your data quality?

Technology 59

Technology Cost-Benefit Deep Learning Modeling 59

Sisense

APRIL 15, 2021

From data preparation , with attendant data quality assessment, to connecting to datasets and performing the analysis itself, helpful AI elements, invisibly integrated into the platform, make analysis smoother and more intuitive. Call centers already report that AI chatbots receive higher customer ratings than human agents!

Analytics 98

Analytics Data Science Modeling Machine Learning 98

O'Reilly on Data

DECEMBER 12, 2019

Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes. The study of security in ML is a growing field—and a growing problem, as we documented in a recent Future of Privacy Forum report. [8].

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

Smarten

APRIL 19, 2024

The value of an AI-focused analytics solution can only be fully realized when a business has ensured data quality and integration of data sources, so it will be important for businesses to choose an analytics solution and service provider that can help them achieve these goals.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

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 115

Data Lake Unstructured Data Data Warehouse Data Quality 115

Domino Data Lab

JULY 22, 2019

We’ve got this complex landscape, tons of data sharing, an economy of data, external data, tons of mobile devices. and drop your deep learning model resource footprint by 5-6 orders of magnitude and run it on devices that don’t even have batteries. What do they report in common? You know what?

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Ontotext

MAY 22, 2023

Luckily, the text analysis that Ontotext does is focused on tasks that require complex domain knowledge and linking of documents to reference data or master data. We use other deep learning techniques for such tasks. Long story short, MDM is mostly about data quality and precision (e.g.,

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

CIO Business Intelligence

MARCH 22, 2022

This investigation will help you identify the organizational and infrastructure changes needed to open up data access across the company. . Consolidate data . Consolidation creates a single source of truth on which to base decisions, actions, and reports. Ready to evolve your analytics strategy or improve your data quality?

Analytics 111

Analytics Key Performance Indicator Data Warehouse Data-driven 111

Domino Data Lab

MARCH 3, 2019

This month, the theme is not specifically about conference summaries; rather, it’s about a set of follow-up surveys from Strata Data attendees. We had big surprises at several turns and have subsequently published a series of reports. Let’s look through some of the insights gained from those reports.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

DataRobot Blog

DECEMBER 15, 2022

If your dataset is not in time order (time consistency is required for accurate Time Series projects), DataRobot can fix those gaps using the DataRobot Data Prep tool , a no-code tool that will get your data ready for Time Series forecasting. Prepare your data for Time Series Forecasting.

Forecasting 81

Forecasting Modeling ROI Machine Learning 81

DataRobot Blog

DECEMBER 20, 2022

In this context, an augmented intelligence approach around the data will be increasingly more critical for asset managers, investors, and real estate developers to ensure a better understanding of the real estate assets and take better decisions aimed at optimizing both the Net Asset Value and the Net Operating Income.

Management 59

Management Machine Learning Optimization Modeling 59

CIO Business Intelligence

JANUARY 20, 2023

It’s About the Data For companies that have succeeded in an AI and analytics deployment, data availability is a key performance indicator, according to a Harvard Business Review report. [3] Ready to evolve your analytics strategy or improve your data quality? Just starting out with analytics?

Analytics 136

Analytics Key Performance Indicator Unstructured Data IoT 136

Smart Data Collective

OCTOBER 13, 2021

As we have already said, the challenge for companies is to extract value from data, and to do so it is necessary to have the best visualization tools. Over time, it is true that artificial intelligence and deep learning models will be help process these massive amounts of data (in fact, this is already being done in some fields).

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135

CDW Research Hub

SEPTEMBER 15, 2020

They can be inflexible and costly since you are not able to scale your usage as you would using a modern data platform and the cloud. They also aren’t built to integrate new technologies such as artificial intelligence and deep learning tools, which can move business to continuous intelligence and from predictive to prescriptive analytics.

Business Intelligence 52

Business Intelligence Prescriptive Analytics Unstructured Data Data Warehouse 52

O'Reilly on Data

MARCH 24, 2020

” One of his more egregious errors was to continually test already collected data for new hypotheses until one stuck, after his initial hypothesis failed [4]. You may picture data scientists building machine learning models all day, but the common trope that they spend 80% of their time on data preparation is closer to the truth.

Machine Learning 346

Machine Learning Statistics Data Quality Modeling 346