Smart Data Collective

JUNE 25, 2019

Big data is making it easier for marketers to make the most of their campaigns. Facebook, Google and other major companies collect massive troves of data , which are invaluable for advertisers. Unfortunately, this data is useless without a well-thought out strategy. Big data is vital to consumer research.

Big Data 75

Big Data Strategy Data Processing Data mining 75

Jen Stirrup

APRIL 16, 2024

The Green Hydrogen Summit, hosted in Abu Dhabi by Masdar, kicked off this year with a significant focus on Artificial Intelligence and data to advance the green hydrogen economy for a sustainable energy transition. There is a significant focus on Artificial Intelligence and data and its potential.

Data Processing 58

Data Processing Data-driven Optimization Forecasting 58

Sisense

JUNE 25, 2020

Deep Brew will increasingly power our personalization engine, optimize store labor allocations, and drive inventory management in our stores. In many ways, Deep Brew, and the focus on machine learning and AI , is all about finding ways to help humans have more time to be human. Going big by going mobile.

Big Data 98

Big Data Data-driven IoT Marketing 98

Smart Data Collective

MARCH 22, 2019

Big data is helping online entrepreneurs address some of the most pressing obstacles that they have faced for years. Marketers have utilized deep learning technology to get a better understanding of their customers, so they can refine their creative and targeting strategies. Deep learning technology can make this happen.

Big Data 45

Big Data Deep Learning Machine Learning Marketing 45

Smart Data Collective

JUNE 28, 2021

They give online retailers high levels of control over their own internal data. They are not subject to data loss from hosting it in the cloud, which might have retention policies outside their control. E-commerce companies are using a lot of great data centers and hosting options.

Management 87

Management Big Data Data Processing Advertising 87

Smart Data Collective

NOVEMBER 18, 2020

The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly. Where to Use Data Science? Where to Use Data Mining?

Data mining 143

Data mining Data Science Informatics Statistics 143

Smart Data Collective

JULY 27, 2021

According to most marketing experts, content is probably one of the most important areas to emphasize in Search Engine Optimization (SEO). This is one of the most important benefits of cloud technology and big data for email marketing. Cloud technology has proven to be highly useful when it comes to mobile optimization.

Technology 124

Technology Data Processing Marketing Optimization 124

Smart Data Collective

MARCH 30, 2022

They can use data on online user engagement to optimize their business models. They are able to utilize Hadoop-based data mining tools to improve their market research capabilities and develop better products. Companies that use big data analytics can increase their profitability by 8% on average.

Analytics 114

Analytics Cost-Benefit Testing Dashboards 114

IBM Big Data Hub

NOVEMBER 10, 2023

In this blog, we’ll look at five simple ways to optimize spend with IBM Turbonomic — a hybrid cloud cost optimization platform and the “Ops” in FinOps — while still leveraging the elasticity of the cloud. Eliminate cloud waste through optimization Figure 3: IBM Turbonomic cloud cost optimization.

Optimization 71

Optimization Machine Learning Interactive Management 71

Smart Data Collective

JUNE 4, 2021

Basics of Machine Learning. Machine learning is the science of building models automatically. In conventional programming, the programmer understands the business needs, data, and writes the logic. Whereas in machine learning, the algorithm understands the data and creates the logic.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

IBM Big Data Hub

DECEMBER 5, 2023

With the rise of highly personalized online shopping, direct-to-consumer models, and delivery services, generative AI can help retailers further unlock a host of benefits that can improve customer care, talent transformation and the performance of their applications.

Unstructured Data 92

Unstructured Data Cost-Benefit Experimentation Machine Learning 92

IBM Big Data Hub

FEBRUARY 7, 2024

Sustainable technology: New ways to do more With a boom in artificial intelligence (AI) , machine learning (ML) and a host of other advanced technologies, 2024 is poised to the be the year for tech-driven sustainability. The smart factories that make up Industry 4.0

Reporting 93

Reporting Cost-Benefit Internet of Things Data-driven 93

IBM Big Data Hub

DECEMBER 20, 2023

Whether it’s deeper data analysis, optimization of business processes or improved customer experiences , having a well-defined purpose and plan will ensure that the adoption of AI aligns with the broader business goals. A model represents what was learned by a machine learning algorithm.

Strategy 74

Strategy Business Objectives Cost-Benefit Consulting 74

IBM Big Data Hub

AUGUST 16, 2023

Here are six ways organizations can improve their cloud cost management, increase cloud cost optimization and drive as much value from their cloud budgets as possible. Optimizing cloud spend is not only about cutting costs; it’s about making decisions that produce optimal results for every use case.

Cost-Benefit 67

Cost-Benefit Data Processing Optimization Software 67

Smart Data Collective

NOVEMBER 8, 2022

Big data and AI technology has led to some major breakthroughs in online video technology. Video conferencing services offer a host of benefits. One of the biggest is automated transcription with machine learning algorithms. They can also use AI to create voice controls over meetings.

Data-driven 105

Data-driven Data Processing Machine Learning Technology 105

Smart Data Collective

FEBRUARY 20, 2022

Your SaaS company can store and protect any amount of data using Amazon Simple Storage Service (S3), which is ideal for data lakes, cloud-native applications, and mobile apps. Management of data. The analysis of tons of data for your SaaS business can be extremely time-consuming, and it could even be impossible if done manually.

Cost-Benefit 114

Cost-Benefit Data Lake Software Machine Learning 114

IBM Big Data Hub

MAY 26, 2023

Cloud computing offers the potential to redefine and personalize customer relationships, transform and optimize operations, improve governance and transparency, and expand business agility and capability. Cloud is transforming the way life sciences organizations are doing business.

Consulting 77

Consulting Cost-Benefit Optimization Machine Learning 77

IBM Big Data Hub

AUGUST 1, 2023

Dizzion, an innovator in the Managed Desktop as a Service (DaaS) industry, hosts its managed desktop offering on IBM Cloud to help enterprises manage their workforce. These capabilities are especially critical for machine learning , artificial intelligence , simulation and other high-performance computing (HPC) workloads.

Digital Transformation 66

Digital Transformation Risk Data Processing Enterprise 66

AWS Big Data

MAY 4, 2023

Encored develops machine learning (ML) applications predicting and optimizing various energy-related processes, and their key initiative is to predict the amount of power generated at renewable energy power plants. In addition to these benefits, Lambda allows you to configure ephemeral storage (/tmp) between 512–10,240 MB.

Data-driven 52

Data-driven Technology Cost-Benefit Machine Learning 52

IBM Big Data Hub

APRIL 18, 2024

According to Andreessen Horowitz (link resides outside IBM.com ) , in 2023, the average spend on foundation model application programming interfaces (APIs), self-hosting and fine-tuning models across surveyed companies reached USD 7 million. AGI wouldn’t just perceive its surroundings; it would understand them.

Cost-Benefit 93

Cost-Benefit Modeling Manufacturing Interactive 93

IBM Big Data Hub

JANUARY 10, 2024

The protection of data-at-rest and data-in-motion has been a standard practice in the industry for decades; however, with advent of hybrid and decentralized management of infrastructure it has now become imperative to equally protect data-in-use.

Data Processing 74

Data Processing Risk Modeling Cost-Benefit 74

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 107

Data Lake Sales Data Warehouse Snapshot 107

IBM Big Data Hub

MARCH 8, 2024

Digital optimization and automation tools have made it cheaper and easier for businesses to use customer data or third-party data, creating intelligent ecommerce sites. In the midst of a massive shift in how consumers purchase goods and services, here are some ecommerce trends that are projected to impact the global USD 3.3

Consulting 83

Consulting Marketing Sales Data Processing 83

AWS Big Data

MARCH 7, 2024

Organizations often need to manage a high volume of data that is growing at an extraordinary rate. At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. Cold storage is optimized to store infrequently accessed or historical data.

Data Lake 117

Data Lake Analytics Dashboards Metrics 117

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Enterprise Machine Learning: .

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 87

Enterprise Data Warehouse Snapshot Cost-Benefit 87

Smart Data Collective

MAY 17, 2021

Big data is at the heart of the digital revolution. Basing fleet management operations on data is not new, and in some ways, it’s always been a part of the industry. Basing fleet management operations on data is not new, and in some ways, it’s always been a part of the industry. Improved Fleet Management Controls.

Big Data 100

Big Data Cost-Benefit IoT Machine Learning 100

AWS Big Data

MARCH 13, 2024

For building any generative AI application, enriching the large language models (LLMs) with new data is imperative. RAG is a machine learning (ML) architecture that uses external documents (like Wikipedia) to augment its knowledge and achieve state-of-the-art results on knowledge-intensive tasks. zst`; do zstd -d $F; done rm *.zst

Data Processing 115

Data Processing Dashboards Machine Learning Management 115

Sisense

OCTOBER 6, 2020

And, as industrial, business, domestic, and personal Internet of Things devices become increasingly intelligent, they communicate with each other and share data to help calibrate performance and maximize efficiency. The result, as Sisense CEO Amir Orad wrote , is that every company is now a data company.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Dagster / ElementL — A data orchestrator for machine learning, analytics, and ETL. .

Testing 300

Testing Machine Learning Consulting Data Quality 300

AWS Big Data

MARCH 9, 2023

Additionally, there are major rewrites to deliver developer-focused improvements, including static type checking, enhanced runtime validation, strong consistency in call patterns, and optimized event chaining. He is passionate about shaping the future of infusing data-rich experiences into products and applications we use every day.

Slice and Dice 82

Slice and Dice Dashboards Analytics Interactive 82

Insight

AUGUST 16, 2019

Getting Started with Data Engineering This blog post by Richard Taylor starts with a discussion of what big data and data engineering really mean before delving into an overview of the current landscape. but we still wanted to include it as it is an amazing representation of Lyft’s data platform and how it has changed.

Big Data 51

Big Data Data Science Data Processing Machine Learning 51

bridgei2i

APRIL 16, 2021

So welcome to our podcast series Beyond Theory with AI Labs, and I’m your host, Divyansh. He has over a decade of experience in the field of AI, which he started with his paper on machine learning in 2009. Anil: That’s a big one and also a bit nuanced. And my guest today is indeed a very special person too.

Deep Learning 98

Deep Learning Machine Learning Digital Transformation Software 98

Cloudera

OCTOBER 25, 2023

That’s why Cloudera and AMD have partnered to host the Climate and Sustainability Hackathon. The event invites individuals or teams of data scientists to develop an end-to-end machine learning project focused on solving one of the many environmental sustainability challenges facing the world today.

Machine Learning 97

Machine Learning Forecasting Data-driven Manufacturing 97

AWS Big Data

JULY 31, 2023

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. AWS Glue is a serverless data integration and ETL service with the ability to scale on demand. Wait for all the jobs to complete.

Sales 52

Sales Data Warehouse Visualization Testing 52

IBM Big Data Hub

NOVEMBER 13, 2023

Kubernetes can also run on bare metal servers and virtual machines (VMs) in private cloud, hybrid cloud and edge settings, provided the host OS is a version of Linux or Windows. HPC uses powerful processors at extremely high speeds to make instantaneous data-driven decisions.

Machine Learning 112

Machine Learning Data-driven Software Testing 112