CIO Business Intelligence

DECEMBER 7, 2023

Then there’s the southern island of Kyushu, the tail-end of Japan, which is particularly prone to increasingly frequent and more intense disasters such as heavy-rain events, typhoons, and earthquakes.

Internet of Things 108

Internet of Things IoT Forecasting Digital Transformation 108

CIO Business Intelligence

JUNE 10, 2022

To further reduce that carbon footprint, these vendors are sourcing electricity from renewables and utilizing artificial intelligence (AI)/machine learning (ML)-based models to optimize power consumption. . This in turn can reduce a company’s carbon footprint by optimizing energy consumption.

Metrics 98

Metrics Machine Learning Optimization Sales 98

CIO Business Intelligence

JUNE 1, 2023

Nearly every CEO today understands that leveraging artificial intelligence and machine learning (AI/ML) is a pathway to business viability. Learn more about Dell HPC solutions at High Performance Computing | Dell USA Rescale provides high performance computing built for the cloud. And changes are coming at warp speed.

ROI 111

ROI Cost-Benefit Machine Learning Testing 111

Smart Data Collective

SEPTEMBER 29, 2022

Companies use machine learning to identify technical issues with their sites and automate maintenance. The platform has been around since 2011 and offers access to more than 250,000 apps that have been downloaded over 1 billion times. They can find creative ways to reach new customers more easily than ever. Improve maintenance.

Technology 145

Technology Advertising Cost-Benefit Publishing 145

CIO Business Intelligence

JANUARY 17, 2024

The digitization of internal processes came in 2011, when the company decided to streamline its internal data management, quality control, project management, and communication processes through digital tools and platforms.

Digital Transformation 119

Digital Transformation Dashboards Data Science Reporting 119

Domino Data Lab

OCTOBER 9, 2019

Clustering is a machine learning technique that enables researchers and data scientists to partition and segment data. Clustering, which plays a big role in modern machine learning, is the partitioning of data into groups. This article covers clustering including K-means and hierarchical clustering. Introduction.

Statistics 100

Statistics Machine Learning Metrics Measurement 100

Smart Data Collective

FEBRUARY 14, 2023

This includes utilizing personalization technology, which relies heavily on machine learning. Since launching in 2011, Snapchat has primarily been a mobile app that works best with high-end smartphones. The best part is that many of these web apps are using AI technology to provide the optimal user experience.

Risk 136

Risk Technology Optimization Machine Learning 136

DataRobot Blog

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . Given this context, how can financial institutions reap the benefits of modern machine learning approaches, while still being compliant to their MRM framework?

Risk 64

Risk Modeling Machine Learning Data Quality 64

bridgei2i

NOVEMBER 18, 2021

The acquisition, announced last month, strengthens Accenture’s global capabilities in data science, machine learning and AI-powered insights, and adds more than 800 deeply skilled professionals to Accenture’s Applied Intelligence practice.

Digital Transformation 52

Digital Transformation Machine Learning Consulting Data-driven 52

Smart Data Collective

APRIL 5, 2019

million in Series B in 2010, and was quickly acquired by Twitter for $40 million in 2011. It leverages expert systems and deep machine learning to provide actionable customer experience insights. During this time, they raised $300,000 in seed funds, $3.5 This is useful for businesses with an international presence.

Big Data 100

Big Data Interactive Data-driven Machine Learning 100

CIO Business Intelligence

JANUARY 8, 2024

But in this next cloud optimization phase, the airliner will focus on enhancing the security and performance of these workloads on the cloud, says Nair, who was hired by Cathay in 2011 as an application service manager, working his way up to his current position 10 years later.

Optimization 119

Optimization Digital Transformation Cost-Benefit Data Warehouse 119

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. So that’s one.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

IBM Big Data Hub

OCTOBER 12, 2023

Early iterations of the AI applications we interact with most today were built on traditional machine learning models. These models rely on learning algorithms that are developed and maintained by data scientists. For example, Apple made Siri a feature of its iOS in 2011. IBM watsonx.ai Explore watsonx.ai

Machine Learning 67

Machine Learning Deep Learning Interactive Modeling 67

Domino Data Lab

SEPTEMBER 18, 2019

This post covers data exploration using machine learning and interactive plotting. As Domino seeks to help data scientists accelerate their work, we reached out to AWP Pearson for permission to excerpt the chapter “Real Estate” from the book, Pragmatic AI: An Introduction to Cloud-Based Machine Learning by Noah Gift.

Visualization 99

Visualization Interactive Machine Learning Data Science 99

Cloudera

JUNE 7, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. We live in a hybrid data world.

IT 112

IT Data Architecture Unstructured Data Big Data 112

Cloudera

SEPTEMBER 20, 2022

Certainly machine learning systems are far more likely to produce a certain class of images by design, but I am not aware of any effort to map out that class of images from a theoretical standpoint. 22nd European Regional ITS Conference, Budapest 2011: Innovative ICT Applications – Emerging Regulatory, Economic and Policy Issues.

Deep Learning 88

Deep Learning Cost-Benefit Risk Data-driven 88

Alation

FEBRUARY 20, 2020

While this requires technology – AI, machine learning, log parsing, natural language processing,metadata management, this technology must be surfaced in a form accessible to business users – the data catalog. The Forrester Wave : Machine Learning Data Catalogs, Q2 2018.

Machine Learning 52

Machine Learning Marketing Reporting Data-driven 52

AWS Big Data

JULY 16, 2024

The new approach would need to offer the flexibility to integrate new technologies such as machine learning (ML), scalability to handle long-term retention at forecasted growth levels, and provide options for cost optimization. Zurich wanted to identify a log management solution to work in conjunction with their existing SIEM solution.

Insurance 130

Insurance Management Cost-Benefit Optimization 130

AWS Big Data

MAY 4, 2023

Dataset Variables Disk Size Xarray Dataset Size Region ERA5 2011–2020 (120 netcdf files) 53.5GB 364.1 Chakra Nagarajan is a Principal Machine Learning Prototyping SA with 21 years of experience in machine learning, big data, and high-performance computing. The following table summarizes our dataset details.

Data Processing 122

Data Processing Metadata Informatics Interactive 122

CIO Business Intelligence

JUNE 23, 2022

In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. We live in a hybrid data world.

IT 97

IT Data Architecture Unstructured Data Big Data 97

IBM Big Data Hub

MARCH 25, 2022

We founded MemSQL (the original name of SingleStore) in 2011. Around 2011, we worked with a hot gaming company with a real-time analytics use case to understand what their users were doing in the moment to optimize the gaming experience by monitoring how users interacted with the game.

Data-driven 69

Data-driven Data Warehouse Data Processing Marketing 69

Domino Data Lab

APRIL 3, 2019

Plus, the more mature machine learning (ML) practices place greater emphasis on these kinds of solutions than the less experienced organizations. That presented an opportunity to learn, putting me in the same position as much of the audience. Fun fact: in 2011 Google bought remnants of what had previously been Motorola.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

CIO Business Intelligence

MARCH 1, 2023

Ever since we started the company back in 2011, when I was CIO, we’ve been using data to improve our operations. We are working on an initiative that uses machine learning to optimize how we move freight through a network of roughly 294 terminals. Data will be central to our growth as well.

ROI 52

ROI Machine Learning Sales Technology 52

Domino Data Lab

SEPTEMBER 25, 2019

Yet, because the last event affects the current event and ordering of events matter, we are obligated to use more specialized tools as compared to plain regression or classification machine learning algorithms.

Forecasting 87

Forecasting Modeling Statistics Optimization 87

Domino Data Lab

AUGUST 6, 2021

It was first defined by the US Federal Reserve and Office of the Comptroller of the Currency ( SR 11-7 ) in April 2011. Doing the practical aspects of implementation and ongoing monitoring of risk requires the use of a software solution called Enterprise Machine Learning Operations (MLOps).

Risk Management 64

Risk Management Risk Modeling Enterprise 64

IBM Big Data Hub

NOVEMBER 20, 2023

It was introduced in 2011 as an alternative to the SATA and Serial Attached SCSI (SAS) protocols that were the industry standard at the time, and it conveys better throughput than its predecessors. Since 2011, NVMe technology has distinguished itself through its high bandwidth and blazing-fast data transfer speeds. What is NVMe?

Internet of Things 64

Internet of Things Enterprise Technology IoT 64

Sisense

JULY 1, 2021

Marketing technology tools (also referred to as MarTech tools) have multiplied from about 150 in 2011 to around 8,000 today, a 5,233% increase that sends a clear message: Marketers are embracing digital assistance and data/analytics. We’re leaning on more and more machines to help us identify patterns or anomalies,” said Scott.

Marketing 52

Marketing Experimentation Marketing Analytics ROI 52

Cloudera

OCTOBER 3, 2018

Since 2011, our two companies have each innovated to build better products and win more business. Machine learning brings new challenges, but also transformative power, to our customers. Three years later, the core team of developers working inside Yahoo on Hadoop spun out to found Hortonworks.

Uncertainty 75

Uncertainty IoT Risk Reporting 75

DataRobot Blog

MAY 26, 2022

Validating Modern Machine Learning (ML) Methods Prior to Productionization. Validating Machine Learning Models. When the FRB’s guidance was first introduced in 2011, modelers often employed traditional regression -based models for their business needs.

Risk 52

Risk Modeling Metrics Business Objectives 52

IBM Big Data Hub

NOVEMBER 13, 2023

In 2011, NVMe storage technology was introduced as an alternative to SATA and Serial Attached SCSI (SAS) protocols, which had been the industry standard for several years. Peripheral Component Interconnect Express (PCIe) bus One of the most important differentiators of NVMe SSDs is the way it accesses flash storage.

Internet of Things 72

Internet of Things Enterprise Technology Marketing 72

IBM Big Data Hub

NOVEMBER 3, 2023

NVMe storage technology was designed to replace Serial Advanced Technology Attachment (SATA) and Serial Attached SCSI (SAS) protocols that were the industry standard until NVMe’s introduction in 2011.

Cost-Benefit 72

Cost-Benefit Internet of Things Enterprise Technology 72

Domino Data Lab

MARCH 3, 2019

Paco Nathan covers recent research on data infrastructure as well as adoption of machine learning and AI in the enterprise. O’Reilly Media published our analysis as free mini-books: The State of Machine Learning Adoption in the Enterprise (Aug 2018). Introduction. Welcome back to our monthly series about data science!

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Hurwitz & Associates

APRIL 19, 2018

One of Atos’s strongest partnerships is with Siemens, which is not surprising since Atos has acquired several of Siemens’ assets including, its IT solutions and services business in 2011, and Convergence Creators (cybersecurity and communications solutions) in 2017. Role as an industry platform. Analytics and Data will pervade the strategy.

IT 40

IT Consulting IoT Strategy 40

Domino Data Lab

JANUARY 6, 2019

Meanwhile, employers who are betting that their teams accomplish substantial projects in data science, machine learning, data engineering, artificial intelligence, etc., I can plot a line from high school “Algebra II” to the math needed for machine learning. Hands-on Machine Learning with Scikit-Learn and TensorFlow.

Data Science 56

Data Science Machine Learning Visualization Reporting 56

BizAcuity

MAY 10, 2022

2011: IBM enters the cloud market with IBM SmartCloud. Microsoft launches Azure ML Studio for machine learning capabilities on the cloud. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models. [You can read more on IaaS, PaaS and SaaS here ]. Google releases Kubernetes.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Domino Data Lab

AUGUST 22, 2019

Learning word vectors for sentiment analysis. Note: In more technical machine learning terms, the cost function of the skip-gram architecture is to maximize the log probability of any possible context word from a corpus given the current target word.] Journal of Machine Learning Research, 9, 2579–605.]. Example 11.9

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

AWS Big Data

APRIL 5, 2023

Showpad built new customer-facing embedded dashboards within Showpad eOSTM and migrated its legacy dashboards to Amazon QuickSight , a unified BI service providing modern interactive dashboards, natural language querying, paginated reports, machine learning (ML) insights, and embedded analytics at scale.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52