The Accidental Successful CIO

MAY 12, 2021

Understanding Business Intelligence vs. Business Analytics. Business intelligence tools provide insights into the current state of the business or organization: where are sales prospects in the pipeline today? It also gets to the heart of the question of who business intelligence is designed for.

Business Intelligence 90

Business Intelligence Business Analytics Analytics Off-The-Shelf 90

Cloudera

FEBRUARY 8, 2021

In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale. The vehicle-to-cloud solution driving advanced use cases.

Data 110

Data Machine Learning Artificial Inteligence Automotive 110

CTOvision

JUNE 10, 2014

It examines one of the hottest of Machine Learning techniques, Deep Learning, and provides a list of free resources for leanring and using Deep Learning-bg. Deep Learning is a very hot area of Machine Learning Research, with many remarkable recent successes, such as 97.5% Deep Learning Google+ page.

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Course Artificial Inteligence Machine Learning Artificial Intelligence 103

Sunflower Lab

JULY 5, 2023

.” – Saul Berman In this fast-paced digital world, more and more businesses are turning towards Intelligent Process Automation to complete different business operations. This has become true with the addition of Artificial Intelligence (AI), Machine Learning (ML) and Robotic Process Automation (RPA) in businesses.

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Artificial Inteligence Artificial Intelligence Machine Learning Analytics 52

Cloudera

FEBRUARY 25, 2021

Cloudera has a front-row seat to organizational challenges as those enterprises make Machine Learning a core part of their strategies and businesses. The work of a machine learning model developer is highly complex. The post Change The Way You Do ML With Applied ML Prototypes appeared first on Cloudera Blog.

Machine Learning 83

Machine Learning Artificial Inteligence Telecommunications Enterprise 83

Cloudera

MAY 27, 2021

This blog post was written by Pedro Pereira as a guest author for Cloudera. . This could be addressed with an explanation of how a technology works — how, for instance, machine learning (ML) engines get better at their tasks by being fed gobs of data. It’s not the machine’s fault. The answer is not obvious.

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Artificial Inteligence Artificial Intelligence Technical Review Systems Review 117

Cloudera

MAY 12, 2021

We welcome organizations that have built and deployed use cases for enterprise-scale machine learning and have industrialized AI to automate, secure, and optimize data-driven decision-making and/or applications to enter this category. The post Announcing the 2021 Data Impact Awards appeared first on Cloudera Blog.

Data 69

Data Machine Learning Artificial Inteligence Analytics 69

Cloudera

JANUARY 5, 2021

To enable these business capabilities requires an enterprise data platform to process streaming data at high volume and high scale, to manage and monitor diverse edge applications, and provide data scientists with tools to build, test, refine and deploy predictive machine learning models. .

Agile 93

Agile Retail Analytics Enterprise 93

Altexsoft

SEPTEMBER 6, 2018

Customer-facing applications powered by machine learning algorithms solve your customers’ problems. Business analytics: business intelligence and statistical analytics. Business analytics (BA) is the exploration of data through statistical and operations analysis. Big data analysis.

Company 63

Company Off-The-Shelf Data Software Review 63

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. The company has previously created a business unit tenant in CDP Public Cloud. Assumptions.

Data 98

Data Virtualization Banking Data Engineering 98

Cloudera

OCTOBER 28, 2020

As these new sources cause data volumes to multiply, advanced analytics and machine learning are the only effective ways to analyze the vast quantities of information and help realize insight. You can learn more about enhancing the customer experience in Financial Services here. .

Data 72

Data Analytics Banking Machine Learning 72

Cloudera

NOVEMBER 16, 2020

And finally, newer technologies (such as Cloudera’s) that facilitate cloud computing, machine learning, and streaming data, enable us to integrate and use structured, unstructured and third-party data to identify and address possible fraud earlier in the attempt, hopefully preventing fraud altogether.

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Insurance Data Machine Learning Artificial Inteligence 102

Cloudera

JANUARY 14, 2021

This blog is the final post of a 4-part series. You can read the first blog posts, here: 1. The resulting application of streaming data and advanced analytics is expected to be a major contributor to improving freshness, reducing food waste, and cutting cold. Get to Know Your Retail Customer: 2.

Retail 73

Retail Agile Storage Analytics 73

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. CIO.com notes that it took employers an average of 109 days to fill roles in machine learning and AI, compared to 44 days to fill jobs in general. .

Software Review 94

Software Review Technical Review Software Development Team Review 94

Cloudera

FEBRUARY 24, 2021

Artificial intelligence and machine learning (AI/ML) will be central to risk modeling in 2021 and the future. Trend #3: Fighting Fraud with Data and Machine Learning. Fraud prevention is another area where the financial services industry will benefit from leveraging real-time data and machine learning.

Artificial Inteligence 60

Artificial Inteligence Trends Industry Artificial Intelligence 60

CIO

APRIL 15, 2022

According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year. And 20% of IT leaders say machine learning/artificial intelligence will drive the most IT investment. AI algorithms identify everything but COVID-19.

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Analytics Artificial Inteligence Machine Learning Systems Review 363

Cloudera

JANUARY 13, 2021

The platform is built on a data lake that centralises data in UOB business units across the organisation. Utilising this centralised platform enhances UOB’s ability to roll out artificial intelligence and machine learning capabilities to more parts of the business quickly and consistently. .

Banking 57

Banking Artificial Inteligence Data Artificial Intelligence 57

Cloudera

NOVEMBER 24, 2020

This meant building its first contextual offer engine — one that could enable access to customer data in real-time using advanced, intelligent data analytics and machine learning to personalize the customer product interaction experience.

Data 75

Data Agile Banking Machine Learning 75

Cloudera

FEBRUARY 18, 2021

As the insurance industry adapts to changing consumer behaviors and expectations, insurers will see automation in claims processing gain traction, using Machine Learning (ML) and Artificial Intelligence (AI) to adjudicate more decisions than ever. . Learn more about our insurance capabilities at.

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Insurance Trends Data Artificial Inteligence 107

Kaseya

MAY 13, 2021

In this blog, we’ll compare the three leading public cloud providers, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud. Also, it might be interesting to note that Azure is the only cloud platform that offers unique capabilities like cognitive APIs, bots, machine learning and Blockchain-as-a-Service (BaaS).

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Google Cloud Azure AWS Cloud 122

Datavail

JUNE 6, 2019

Power BI is Microsoft’s solution for business analytics and visualization. The software includes advanced features such as artificial intelligence and machine learning, and also integrates with Microsoft’s digital assistant Cortana. Qlik is a self-service BI solution similar to Tableau.

Tools 75

Tools Artificial Inteligence Analytics Artificial Intelligence 75

Cloudera

DECEMBER 17, 2020

In my first blog of this series , I spoke about how successful retailers are leveraging customer profiles producing higher customer engagement results, and reduced marketing costs by delivering targeted, relevant, contextual content and recommendations. The benefits of moving to a customer-centric merchandising strategy.

Retail 58

Retail Apparel Analytics Enterprise 58

CTOvision

OCTOBER 18, 2013

H2O is the open source math & machine learning platform for speed and scale. Alpine has simplified popular machine-learning methods and made them available on petabyte-scale datasets. Pentaho is building the future of business analytics. We list our methodologies at the end of the list. and New York.

Technical Review 99

Technical Review Analytics Technology Big Data 99

The Accidental Successful CIO

NOVEMBER 7, 2018

What United is hoping to do is to use analytics and machine learning to allow them to avoid having to implement black-and-white rules that determine who gets on a flight. Click here to get automatic updates when The Accidental Successful CIO Blog is updated. Learn what you need to know to do the job.

Airlines 51

Airlines Analytics Film Machine Learning 51

Datavail

JUNE 8, 2023

The event tackles topics on artificial intelligence, machine learning, data science, data management, predictive analytics, and business analytics. I also discussed best practices for developing and deploying data-driven solutions in the cloud, including leveraging automation and advanced analytics tools.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Cloudera

JANUARY 24, 2023

Analytics for everyone. UBL has initiated Analytics for Everyone, a self-service business analytics capability for the bank’s various business units. Besides reducing its dependency on IT for providing insights, it also enabled the business units to make data-driven decisions.

Banking 82

Banking Analytics Data Leadership 82

Altexsoft

JANUARY 26, 2022

They commonly prepare data and build machine learning (ML) models. A big chunk of their work includes helping businesses get better insights and make predictions based on data. Get acquainted with how data is prepared for machine learning projects in our dedicated video.

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Analytics Engineering Data Engineering Software Engineering 59

Cloudera

NOVEMBER 18, 2020

OVO UnCover enables access to real-time customer data using advanced, intelligent data analytics and machine learning to personalize the customer product interaction experience. The post Announcing the 2020 Data Impact Award Winners appeared first on Cloudera Blog. times more effective than traditional mass marketing.

Data 122

Data Analytics Banking Big Data 122

Infinidat

MARCH 10, 2021

While this approach may have worked when business analytics were a more batch-oriented operation, newer analytics workloads need rapid access to more data that can be kept in the traditional performance tiers and moving data between tiers lengthens the time to better, more informed decisions.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

Cloudera

NOVEMBER 2, 2020

These include stream processing/analytics, batch processing, tiered storage (i.e. for active archive or joining live data with historical data), or machine learning. In addition, we have a webinar and blog explaining how you can use Apache Kudu and Apache Impala to create a time series application within CDP.

Data 97

Data Analytics Storage Big Data 97

Confluent

JULY 3, 2019

The idea in this blog post is to mix information coming from two distinct channels: the RSS feeds of sport-related newspapers and Twitter feeds of the FIFA Women’s World Cup. For this blog post, we’ll use RSS feeds as a way to measure the average sentiment of the news. Sentiment analytics and Google’s Natural Language APIs.

Analysis 21

Analysis Data Sport Windows 21

Sunflower Lab

APRIL 2, 2024

That’s where predictive analytics with Power BI swoops in, taking center stage as a game-changer for CEO decision-making. This isn’t just a blog post; it’s a detailed guide that CEOs, Business Analysts, and Data Scientists need to weave predictive analytics seamlessly into the DNA of their organizations using Power BI.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

Altexsoft

FEBRUARY 3, 2020

We prepared a list of statistical facts just to show you the sheer magnitude of the data science industry: The projected worldwide revenue for big data and business analytics solutions in 2019 is $189 billion. Seamless integration with external machine learning systems. Want to write an article for our blog?

Analytics 87

Analytics Tools Data Artificial Inteligence 87

Cloudera

FEBRUARY 22, 2021

Providing a comprehensive set of diverse analytical frameworks for different use cases across the data lifecycle (data streaming, data engineering, data warehousing, operational database and machine learning) while at the same time seamlessly integrating data content via the Shared Data Experience (SDX), a layer that separates compute and storage.

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Data Analytics Government Technical Review 80