Smart Data Collective

FEBRUARY 14, 2021

Big data is fundamental to the future of software development. A growing number of developers are finding ways to utilize data analytics to streamline technology rollouts. Data-driven solutions are particularly important for SaaS technology. Big Data Technology is Pivotal to SaaS Deployments.

Data-driven 87

Data-driven Big Data Deep Learning Software 87

O'Reilly on Data

MARCH 19, 2020

O’Reilly online learning is a trove of information about the trends, topics, and issues tech leaders need to know about to do their jobs. Our analysis of ML- and AI-related data from the O’Reilly online learning platform indicates: Unsupervised learning surged in 2019, with usage up by 172%.

Deep Learning 276

Deep Learning Machine Learning Data-driven Modeling 276

Analytics Vidhya

JANUARY 24, 2024

Introduction Tableau is a powerful data visualization tool that allows users to analyze and present data interactively and meaningfully. It helps businesses make data-driven decisions by providing easy-to-understand insights and visualizations.

Visualization 329

Visualization Data-driven Interactive Analytics 329

CIO Business Intelligence

MAY 14, 2024

In past years, reporting fatal drug overdoses has largely been a paper- and human-driven process in King County, which shares the information with state and federal agencies. The ML models include classic ML and deep learning to predict category labels from the narrative text in reports.

Deep Learning 91

Deep Learning Machine Learning Reporting Experimentation 91

Analytics Vidhya

OCTOBER 18, 2023

Segmind’s AI-driven approach streamlines the design process, sparking creativity and limitless logo creation. Generative AI, a transformative concept, trains on design data, autonomously creating logos […] The post Empowering Logo Design with Segmind’s Generative AI appeared first on Analytics Vidhya.

Data-driven 305

Data-driven Analytics Deep Learning Technology 305

datapine

MAY 14, 2019

“Big data is at the foundation of all the megatrends that are happening.” – Chris Lynch, big data expert. We live in a world saturated with data. Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek. Wondering which data science book to read?

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

Analytics Vidhya

MARCH 2, 2023

Introduction With growing digitization, data is the lifeblood of the majority of organizations. As the existence of data-driven companies is expanding, the amount of data generated and accumulated by these companies is also expanding exponentially.

Machine Learning 301

Machine Learning Data-driven Analytics Deep Learning 301

Analytics Vidhya

APRIL 17, 2023

Introduction Well, hold onto your seats because the DataHour sessions are here to revolutionize how you learn about data-driven technologies. If you’re tired of boring, dry sessions that put you to sleep faster than a lullaby, you’re in for a treat.

Data Science 295

Data Science Data-driven People Analytics Technology 295

Laminar Security

DECEMBER 13, 2023

In the ever-evolving digital landscape, the importance of data discovery and classification can’t be overstated. As we generate and interact with unprecedented volumes of data, the task of accurately identifying, categorizing, and utilizing this information becomes increasingly difficult.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

Analytics Vidhya

JUNE 5, 2023

Introduction Welcome back to the success story interview series with a successful data scientist and our DataHour Speaker, Vidhya Chandrasekaran! In today’s data-driven world, data scientists play a crucial role in helping businesses make informed decisions by analyzing and interpreting data.

Strategy 256

Strategy Statistics Machine Learning Data-driven 256

Smart Data Collective

DECEMBER 1, 2022

The world of big data is constantly changing and evolving, and 2021 is no different. As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing. Advancements in data storage techniques.

Big Data 141

Big Data Internet of Things Data-driven IoT 141

Data Science 101

DECEMBER 27, 2019

AWS Deep Learning Containers now support Tensorflow 2.0 AWS Deep Learning Containers are docker images which are preconfigured for deep learning tasks. An intro to Azure FarmBeats An innovative idea to bring data science to farmers. It is called data-driven agriculture.

Data Science 86

Data Science Deep Learning Data-driven IT 86

Business Over Broadway

MARCH 2, 2021

Results of a worldwide survey reveal that data professionals overwhelmingly use a personal computer or laptop as their computing platform most often for their data science projects. The next most used computing platform is a cloud computing platform and a deep learning workstation. Size of Datasets.

Data Science 93

Data Science Deep Learning Machine Learning Data Processing 93

CIO Business Intelligence

JANUARY 25, 2024

With two decades of experience as a human resources leader, Deepa Subbaiah, a senior director for HR at Freshworks, has deep expertise in exploring how enterprise teams can get the most out of workplace tech, from first-generation SaaS applications in the early 2000s to today’s AI-powered chatbots. Make it appealing and relevant to me.”

Deep Learning 115

Deep Learning Cost-Benefit Statistics Manufacturing 115

Corinium

JUNE 6, 2019

Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers? Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. The data will enable companies to provide more personalized services and product choices.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

CIO Business Intelligence

SEPTEMBER 19, 2023

Airbnb is one company using AI to optimize pricing on AWS, utilizing AI to manage capacity, to build custom cost and usage data tools, and to optimize storage and computing capacity. For other companies, AI use in customer service has also been driven by consumer’s increased expectations.

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

Smart Data Collective

AUGUST 6, 2020

At Smart Data Collective, we have talked about a few impressive technological trends that are shaping modern business in the 21st-century. He found that AI-driven text to speech software was much more useful. You can use deep learning technology to replicate a voice that your audience will resonate with.

Deep Learning 84

Deep Learning Visualization Data-driven Marketing 84

CIO Business Intelligence

JANUARY 23, 2023

the OpenAI model on which ChatGPT is based, is an example of a transformer, a deep learning technique developed by Google in 2017 to tackle problems in natural language processing. Prompted to describe its limitations, ChatGPT said, “Its performance can be affected by the quality and quantity of the training data.

Enterprise 131

Enterprise Deep Learning Recreation/Entertainment Interactive 131

Cloudera

OCTOBER 24, 2023

The AI technologies of today—including not just large language models (LLMs) but also deep learning, reinforcement learning, and natural-language processing (NLP) tools—will equip telcos with powerful new automation and analytics capabilities. AI-powered automation is already driving significant margin growth by reducing costs.

Interactive 81

Interactive Data-driven Cost-Benefit Optimization 81

O'Reilly on Data

DECEMBER 10, 2019

Nor are building data pipelines and deploying ML systems well understood. That doesn’t mean we aren’t seeing tools to automate various aspects of software engineering and data science. Those tools are starting to appear, particularly for building deep learning models. and Matroid. and Matroid.

Software 261

Software Machine Learning Risk Data-driven 261

DataRobot

MARCH 8, 2021

The COVID-19 pandemic accelerated the need for enterprise AI , and organizations that embraced this change found an edge in a fierce, data-driven marketplace. Join us May 11-13, 2021 when we will bring together business leaders and data scientists to share insights on building an agile, AI-driven enterprise.

Deep Learning 52

Deep Learning Forecasting Data-driven Visualization 52

CIO Business Intelligence

SEPTEMBER 7, 2022

Dubbed Cropin Cloud, the suite comes with the ability to ingest and process data, run machine learning models for quick analysis and decision making, and several applications specific to the industry’s needs. The suite, according to the company, consists of three layers: Cropin Apps, the Cropin Data Hub and Cropin Intelligence.

B2B 105

B2B Contextual Data IoT Deep Learning 105

IBM Big Data Hub

MARCH 27, 2024

This article explores an innovative way to streamline the estimation of Scope 3 GHG emissions leveraging AI and Large Language Models (LLMs) to help categorize financial transaction data to align with spend-based emissions factors. Why are Scope 3 emissions difficult to calculate?

Experimentation 81

Experimentation Modeling Deep Learning Data-driven 81

Smart Data Collective

MARCH 16, 2022

Last year, in an article that talked about the impact big data has on finance, we said that location data sets can make investing easier. A large portion of this market is driven by investment companies and mutual funds. Today, we are going to look at the potential influence big data has on personal finance in detail.

Big Data 106

Big Data Deep Learning Finance Data-driven 106

IBM Big Data Hub

APRIL 22, 2024

To drive real change, it’s crucial for individuals, industries, organizations and governments to work together, using data and technology to uncover new opportunities that will help advance sustainability initiatives across the globe. The world is behind on addressing climate change.

IoT 85

IoT Internet of Things Cost-Benefit Reporting 85

Data Science 101

JANUARY 29, 2020

Previously, we looked at some Challenges of Data Science Projects. Below are 3 techniques to help your next project become a data science success. Data science is no different. Monica Rogati, one of the early pioneers of data science, has put together a Data Science Hierarchy of Needs. Start with a Plan.

Data Science 129

Data Science Data Strategy Deep Learning Strategy 129

IBM Big Data Hub

JULY 11, 2023

Better machine learning (ML) algorithms, more access to data, cheaper hardware and the availability of 5G have contributed to the increasing application of AI in the healthcare industry, accelerating the pace of change. US, German and French researchers used deep learning on more than 100,000 images to identify skin cancer.

Deep Learning 60

Deep Learning Cost-Benefit Insurance Machine Learning 60

IBM Big Data Hub

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. DL models can improve over time through further training and exposure to more data. These technologies enable systems to interact, learn from interactions, adapt and become more efficient.

Enterprise 106

Enterprise Interactive Data-driven Key Performance Indicator 106

bridgei2i

SEPTEMBER 15, 2021

BRIDGEi2i has been featured for providing machine learning, deep learning, NLT, and optimization techniques. BRIDGEi2i is a trusted partner for enabling AI for Digital Enterprises by leveraging Data Engineering, Advanced Analytics, proprietary AI accelerators and Consulting expertise.

Marketing 52

Marketing Contextual Data Consulting Deep Learning 52

Smart Data Collective

JANUARY 20, 2020

Moreover, AI pairs perfectly with Data Analytics which make room for vastly improved blogging efforts. Most of these tools are powered by a specific Deep Learning engine which also assists in conversions, revenue generation, and better traffic generations. Narratives that are Data-Driven. Maximized ROI.

Deep Learning 99

Deep Learning ROI Data-driven Marketing 99

Smart Data Collective

MARCH 27, 2023

billion on AI in 2021 , but small businesses may spend even more on AI-driven financial management software. They have also started integrated computer vision and deep learning technology to identify inefficiencies. Many small businesses are investing in AI-driven financial management software.

Software 90

Software Finance Cost-Benefit Data-driven 90

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? What is machine learning?

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

IBM Big Data Hub

DECEMBER 5, 2023

Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content. This unstructured data forms the backbone for creating models and the ongoing training of generative AI, so it can stay effective over time. trillion in that year.

Unstructured Data 95

Unstructured Data Cost-Benefit Experimentation Machine Learning 95

Occam's Razor

MARCH 30, 2017

Perhaps you now see why I’ve pivoted my career to Storytelling with data over the last couple of years. :). Invest in continuous learning. The most conservative estimate is that AI driven changes are expected to replace 25% of jobs across the world, by 2026. Deep Learning is a specific ML technique.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

CIO Business Intelligence

JANUARY 26, 2024

Artificial Intelligence (AI) is a fast-growing and evolving field, and data scientists with AI skills are in high demand. If you want to grow your data scientist career and capitalize on the demand for the role, you might consider getting a graduate degree in AI.

Machine Learning 105

Machine Learning Statistics Recreation/Entertainment Data Science 105

O'Reilly on Data

JULY 28, 2020

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Fair warning: if the business lacks metrics, it probably also lacks discipline about data infrastructure, collection, governance, and much more.) Agreeing on metrics.

Marketing 362

Marketing Experimentation Metrics Testing 362

bridgei2i

NOVEMBER 18, 2020

BRIDGEi2i Analytics Solutions announced today that it had been recognized in the list top 10 data science companies in India to work for 2020 by Analytics Insights magazine. Analytics Insight is a publication focused on Artificial Intelligence, Big Data and Analytics. Awards & Recognition News & Updates. www.BRIDGEi2i.com.

Data Science 52

Data Science Contextual Data Deep Learning Big Data 52