CIO Business Intelligence

OCTOBER 21, 2022

Chipotle IT’s secret sauce Garner credits Chipotle’s wholly owned business model for enabling him to deploy advanced technologies such as the cloud, analytics, data lake, and AI uniformly to all restaurants because they are all based on the same digital backbone. Chipotle’s digital business in 2022 was $3.5

Digital Transformation 143

Digital Transformation Data Lake Forecasting Technology 143

CIO Business Intelligence

MARCH 27, 2024

Prepare now for the quantum cryptography threat To counter the threat well ahead of time, NIST launched in 2016 an international call for algorithms that will protect data even once large quantum computers become available. After a long selection process, NIST announced its intention to standardize four of the PQC algorithms this summer.

Optimization 137

Optimization Consulting Machine Learning Testing 137

CIO Business Intelligence

JULY 24, 2023

The country’s premier football division, LaLiga, is leveraging artificial intelligence and machine learning (ML) to deliver new insights to players and coaches, and to transform how fans enjoy and understand the game. It has also developed predictive models to detect trends, make predictions, and simulate results.

Broadcasting 85

Broadcasting Recreation/Entertainment Testing Machine Learning 85

CIO Business Intelligence

MARCH 1, 2023

Gartner® predicts that, “By 2027, over 90% of new software applications that are developed in the business will contain ML models or services, as enterprises utilize the massive amounts of data available to the business. Their ML models are embedded in their applications and use the same real-time data. Chet earned his B.S.

Cost-Benefit 87

Cost-Benefit Machine Learning Software Strategy 87

DataRobot

AUGUST 16, 2021

But as the technology’s popularity grows, a number of concerning examples have emerged of AI models operating with algorithmic bias. Algorithmic bias can appear in both supervised and unsupervised AI models. Deciding what bias metric is most relevant requires a contextual interpretation of a use case.

Metrics 98

Metrics Modeling Machine Learning Data Collection 98

CIO Business Intelligence

APRIL 11, 2024

One example is with its recently introduced OCI Generative AI Agents, a managed service that combines large language models with an intelligent retrieval system to create contextually relevant answers by searching a knowledge base. “We carefully considered how an enterprise’s business processes could be enhanced with generative AI,” he says.

Enterprise 121

Enterprise IT Data Processing Strategy 121

CIO Business Intelligence

AUGUST 24, 2023

Chet successfully took Apigee public before the company was acquired by Google in 2016. Artificial Intelligence, Machine Learning Google (Apigee) is the cross-cloud API management platform that operates in a multi- and hybrid-cloud world. Chet earned his B.S. in engineering from Arizona State University.

Cost-Benefit 93

Cost-Benefit Enterprise Machine Learning Marketing 93

DataRobot Blog

FEBRUARY 16, 2022

A 2016 paper that sought to explain integrated care , laid out four different definitions and five different conceptual frameworks. Big, complicated datasets require the right tools, and machine learning is critical to uncovering the trends hiding in these new datasets. Check out some of our current use cases. More information.

Machine Learning 52

Machine Learning Reporting Metrics Data Integration 52

Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment. Derman (2016), Cesa (2017) & Bouchard (2018)).

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

DataRobot

MAY 11, 2021

Founded in 2016 by the creator of Apache Zeppelin, Zepl provides a self-service data science notebook solution for advanced data scientists to do exploratory, code-centric work in Python, R, and Scala. At DataRobot, we have always known that data science is a team sport. Put simply, Zepl helps make DataRobot easily customizable. Stay tuned.

Data Science 98

Data Science Cost-Benefit Data Processing Modeling 98

Occam's Razor

MARCH 30, 2017

While the phrase Artificial Intelligence has been around since the first human wondered if she could go further if she had access to entities with inorganic intelligence, it truly jumped the shark in 2016. Machine Learning | Marketing. Machine Learning | Analytics. trillion pictures in 2016. Google Photos.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

Decision Management Solutions

JANUARY 25, 2021

As a six-time honoree since 2016, James was selected for his excellence and expertise as an innovative thought leader in the technical community. Within this highly practical and innovative framework, subject matter experts engage directly in building decision models that help drive increased user engagement and enable data-driven decisions.

Insurance 52

Insurance Finance Machine Learning Data-driven 52

DataRobot Blog

MARCH 10, 2022

DataRobot and Snowflake Jointly Unleash Human and Machine Intelligence Across the Industrial Enterprise Landscape. The “Fourth Industrial Revolution” was coined by Klaus Schwab of the World Economic Forum in 2016. High-level example of a common machine learning lifecycle.

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

Insight

AUGUST 29, 2019

We heard from: Gareth Kafka , a Health Data Fellow from 2017, who discussed his work at Vectra AI where he uses reverse engineering strategies coupled with machine learning to model hackers’ behaviors and enhance data security for clients. Yi Jin was a Data Science Fellow in 2018 and joined Tamr as a Sales Engineer.

Data Science 56

Data Science Machine Learning Sales Measurement 56

Cloudera

NOVEMBER 15, 2021

Cisco estimates that global IP data traffic has grown 3-fold between 2016 and 2021, reaching 3.3 In other words, structured data has a pre-defined data model , whereas unstructured data doesn’t. . It is estimated that about 82% of the total IP traffic is video, up from 73% in 2016. And data moves around. Zettabytes per year.

Unstructured Data 93

Unstructured Data Recreation/Entertainment Structured Data Reporting 93

O'Reilly on Data

MARCH 23, 2021

Before the advent of broadcast media and mass culture, individuals’ mental models of the world were generated locally, along with their sense of reality and what they considered ground truth. ” Reality Decentralized. What has happened? Reality has once again become decentralized.

Internet Publishing and Broadcasting 315

Internet Publishing and Broadcasting Broadcasting Data-driven Interactive 315

Smart Data Collective

MAY 21, 2019

In 2016, cyber-attacks cost the United States economy between $57 billion and $109 billion. There are several ways that predictive analytics is helping organizations prepare for these challenges: Predictive analytics models are helping organizations develop risk scoring algorithms. Cybersecurity is becoming a greater concern than ever.

Big Data 76

Big Data Cost-Benefit Predictive Analytics Insurance 76

CIO Business Intelligence

MAY 17, 2022

In particular, the company has low confidence in its ability to address fundamental problems with machine learning and AI applications, according to the document. Microsoft’s Tay chatbot, released on Twitter in 2016, quickly started spewing racist, misogynist, and anti-Semitic messages. It becomes a social responsibility issue.

Risk 142

Risk Consulting Machine Learning Data Science 142

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

by TAMAN NARAYAN & SEN ZHAO A data scientist is often in possession of domain knowledge which she cannot easily apply to the structure of the model. On the one hand, basic statistical models (e.g. On the other hand, sophisticated machine learning models are flexible in their form but not easy to control.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

IBM Big Data Hub

MARCH 8, 2024

The ecosystem has become more complex as business models advance and new ecommerce trends appear. Search and discovery AI-powered search and recommendation engines use machine learning algorithms to better capture user intent, improve search relevance, and enhance product discovery.

Consulting 81

Consulting Marketing Sales Data Processing 81

Cloudera

SEPTEMBER 20, 2022

The state of the art in AI systems for artistic tasks almost universally use deep-learning models, which presuppose a significant amount of compute resources both to create them, and once created to continue to use them for producing images. The content of these data sets may introduce problematic bias into a model’s results.

Deep Learning 91

Deep Learning Cost-Benefit Risk Data-driven 91

Ontotext

MAY 26, 2021

One of the main uses of the Gold Standard is to train AI systems to identify the patterns in various types of data with the help of machine learning (ML) algorithms. In other words, by giving them plenty of data to learn from, we can “teach” AI systems to automatically identify such patterns.

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

Jet Global

MARCH 10, 2020

I think most companies realized this around 2016, but 2020 is the year when they’ll really get serious about leveraging, optimizing, or monetizing data.

Digital Transformation 69

Digital Transformation Big Data B2B Data-driven 69

CIO Business Intelligence

MAY 1, 2024

ChatGPT e le hallucination sui casi giudiziari I progressi compiuti nel 2023 dai large language models (LLM) hanno suscitato un interesse diffuso per il potenziale di trasformazione dell’IA generativa in quasi tutti i settori. Artificial Intelligence, Generative AI, Machine Learning

Software 94

Software Deep Learning Machine Learning Modeling 94

Smart Data Collective

MARCH 22, 2019

In 2016, household incomes rose enough for families to buy a home that was 1.5 Realtors all over the country have started embracing automation to streamline their valuation and customer engagement models. New models use the latest geographic, economic and demographic data to minimize the risk of mistakes when analyzing properties.

Big Data 66

Big Data Cost-Benefit Marketing Strategy 66

Cloudera

SEPTEMBER 28, 2020

ACID transactions, ANSI 2016 SQL SupportMajor Performance improvements. The data lifecycle model ingests data using Kafka, enriches that data with Spark-based batch process, performs deep data analytics using Hive and Impala, and finally uses that data for data science using Cloudera Data Science Workbench to get deep insights.

Testing 132

Testing Metadata Risk Data Science 132

Hurwitz & Associates

JULY 19, 2018

HPE then shed its software business, selling it to MicroFocus in 2016, and its EDS services business, selling it to CSC that same year. The $4 billion investment will be used for R&D, product development, technical services and the development of new consumption models for Edge and cloud. Consumption models are changing.

Strategy 40

Strategy Data-driven Experimentation Software 40

bridgei2i

MAY 26, 2020

You know the markets shake and the accompanying Swine Flu epidemic of 2015 and 2016, the Japanese tsunami and the Thailand floods in 2011 that shook up the high-tech value chain quite a bit, the great financial crisis and the accompanying H1N1 outbreak in 2008-2009, MERS and SARS before that in 2003. As the crisis evolved.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

Insight

AUGUST 8, 2019

But for those who haven’t been through it, the program’s unique model can be hard to grasp. Insight’s model is very different from this. In 2015, we added Health Data Science, and then Artificial Intelligence in 2016. Insight is different from a bootcamp We get it? In 2014, Insight started its first Data Engineering program.

Data Science 66

Data Science Cost-Benefit Big Data Management 66

Domino Data Lab

JANUARY 6, 2019

Also, clearly there’s no “one size fits all” educational model for data science. Laura Noren, who runs the Data Science Community Newsletter , presented her NYU postdoc research at JuptyerCon 2018, comparing infrastructure models for data science in research and education. Hands-on Machine Learning with Scikit-Learn and TensorFlow.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

CIO Business Intelligence

MARCH 22, 2022

In his new role, Ramamoorthy will lead technology and digital transformation for the bank, as well as be responsible for modern technologies such as APIs, AI and machine learning, and business intelligence. He was a recipient of a 2016 CIO100 India award. Purohit stepped down from the position in June.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

Insight

MARCH 18, 2019

Bias in Machine Learning Algorithms (Bottom Photos Source: ProPublica ; Top Photos Source: Pexels.com) Biases in predictive modeling are a widespread issue Machine learning and AI applications are used across industries, from recommendation engines to self-driving cars and more.

Machine Learning 77

Machine Learning Predictive Modeling Modeling Metrics 77

CIO Business Intelligence

APRIL 15, 2022

And 20% of IT leaders say machine learning/artificial intelligence will drive the most IT investment. Insights gained from analytics and actions driven by machine learning algorithms can give organizations a competitive advantage, but mistakes can be costly in terms of reputation, revenue, or even lives.

Analytics 144

Analytics Machine Learning Insurance Testing 144

Rita Sallam

JULY 22, 2016

Gartner revamped the BI and Analytics Magic Quadrant in 2016 to reflect the mainstreaming of this market disruption. Not sure about that, but Sisense is well suited for easily harmonizing, combining and modeling many different, complex and large data sets for fast interactive analysis. Answer: Better than every other vendor?

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Domino Data Lab

JULY 1, 2021

In this blog post we present the Named Entity Recognition problem and show how a BiLSTM-CRF model can be fitted using a freely available annotated corpus and Keras. The model achieves relatively high accuracy and all data and code is freely available in the article. How to build a statistical Named Entity Recognition (NER) model.

Modeling 111

Modeling Statistics Testing Metrics 111

Ontotext

JANUARY 10, 2024

In Computer Science, we are trained to use the Okham razor – the simplest model of reality that can get the job done is the best one. A customer research from Okta , found that since 2016, the average number of applications deployed in organizations has increased by 24%. Click To Tweet RDF or LPG or … both?

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Domino Data Lab

AUGUST 8, 2019

Meanwhile, many organizations also struggle with “late in the pipeline issues” on model deployment in production and related compliance. Having participated in several Foo Camps—and even co-chaired the Ed Foo series in 2016-17— most definitely, a Foo will turn your head around. Latest in quantum physics? Roll the clock out to Sci Foo.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71