Analytics Vidhya

OCTOBER 27, 2022

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction In 2018 Google AI released a self-supervised learning model […]. The post A Gentle Introduction to RoBERTa appeared first on Analytics Vidhya.

Data Science 287

Data Science Publishing Modeling Analytics 287

IBM Big Data Hub

AUGUST 24, 2023

Formed in 2018 to compete in the inaugural Call for Code Global Challenge — which it won — Project OWL is a global team of entrepreneurs focused on creating radically cost-effective and easy to use aerospace technologies. This is where Project OWL comes into play: developing new technologies to help address these challenges.

IT 72

IT Testing Dashboards Technology 72

Analytics Vidhya

OCTOBER 19, 2022

Source: Canva Introduction In 2018, Google AI researchers came up with BERT, which revolutionized the NLP domain. The post ALBERT Model for Self-Supervised Learning appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. The key […].

Modeling 290

Modeling Data Science Publishing Analytics 290

Analytics Vidhya

DECEMBER 30, 2021

This article was published as a part of the Data Science Blogathon Introduction In 2018, a powerful Transformer-based machine learning model, namely, BERT was developed by Jacob Devlin and his colleagues from Google for NLP applications. The post Text Classification using BERT and TensorFlow appeared first on Analytics Vidhya.

Machine Learning 346

Machine Learning Data Science Publishing Modeling 346

O'Reilly on Data

SEPTEMBER 12, 2018

Derive value from analytics and AI at scale. Watch " Derive value from analytics and AI at scale.". Smarter cities through Geotab with BigQuery ML and geospatial analytics. Watch " Smarter cities through Geotab with BigQuery ML and geospatial analytics.". Watch " Practical ML today and tomorrow.". Quantifying forgiveness.

IoT 141

IoT Machine Learning Deep Learning Data Science 141

IBM Big Data Hub

MARCH 22, 2018

Hard to believe we've arrived at the last day of Think 2018. From keynotes to panels, informal collaborations and learning sessions, we've witnessed first-hand the excitement that conversations about data and analytics bring to business.

Analytics 72

Analytics 72

IBM Big Data Hub

MARCH 21, 2018

Think 2018 is in full swing. We’re inspired hearing from leaders across industries using analytics to transform their business. And we’re thrilled to take part in conversations about data science, machine learning, AI and much more. Here are some highlights from Wednesday at Think.

Machine Learning 73

Machine Learning Data Science Analytics 73

David Menninger's Analyst Perspectives

OCTOBER 26, 2018

This year, Teradata rebranded the Teradata users conference from "Partners" to "Analytics Universe", and there is a reason for it. For decades, Teradata has represented the high end of the analytic database, but new innovations and technologies are adding flexibility to Teradata's licensing as they compete.

Analytics 100

Analytics Technology IT Data Governance 100

David Menninger's Analyst Perspectives

DECEMBER 3, 2018

IBM's Analytics University (held in both Miami and Stockholm) brought about some large changes. Big announcements this year included a consolidation of IBM's Watson Analytics into Cognos 11.1, helping provide some clarity to their analytics offerings, along with new visualizations and better data preparation.

Analytics 133

Analytics Visualization Interactive Business Intelligence 133

DataRobot Blog

MAY 25, 2018

Earlier this month without nearly the grandiose fanfare or market madness of Gartner Magic Quadrant releases, the Gartner Critical Capabilities for Analytics and Business Intelligence Platforms Report 2018 was quietly. Read More.

Analytics 40

Analytics Business Intelligence Reporting Marketing 40

IBM Big Data Hub

FEBRUARY 27, 2018

Whether you’re a developer, manager of an IT department or almost any other kind of business intelligence professional, Think 2018 has something for you.

Business Analytics 58

Business Analytics Business Intelligence Analytics Management 58

Corinium

JUNE 6, 2019

Will you please describe your role at Fractal Analytics? Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers? Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers?

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

IBM Big Data Hub

MARCH 22, 2018

Hard to believe, but we’ve arrived at the final day of Think 2018. We’ve seen an unprecedented level of engagement around analytics and the future of data-driven decision-making. Here are our top picks for analytics pros today. It’s been thrilling to be part of the energy flowing through the Cloud & Data Campus.

Data-driven 72

Data-driven Analytics 72

IBM Big Data Hub

MARCH 19, 2018

We’re live at Think 2018. You’re about to experience a whirlwind of analytics keynotes, panels, demos, and more. If you’re joining us in Las Vegas, welcome to the biggest IBM event of the year.

Analytics 66

Analytics 66

CIO Business Intelligence

NOVEMBER 9, 2022

One potential solution to this challenge is to deploy self-service analytics, a type of business intelligence (BI) that enables business users to perform queries and generate reports on their own with little or no help from IT or data specialists. But there are right and wrong ways to deploy and use self-service analytics.

Analytics 137

Analytics Slice and Dice Metrics Sales 137

O'Reilly on Data

MARCH 19, 2020

Deep learning cooled slightly in 2019, slipping 10% relative to 2018, but deep learning still accounted for 22% of all AI/ML usage. PyTorch looks like a contender: it posted triple-digit growth in usage share rates in both 2018 and 2019. For example, the chatbots topic continues to decline, first by 17% in 2018 and by 34% in 2019.

Deep Learning 276

Deep Learning Machine Learning Data-driven Modeling 276

CIO Business Intelligence

JULY 5, 2022

What is business analytics? Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. What are the benefits of business analytics? What is the difference between business analytics and data analytics?

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Analytics Vidhya

JUNE 26, 2019

DataHack Summit 2019 Bringing Together Futurists to Achieve Super Intelligence DataHack Summit 2018 was a grand success with more than 1,000 attendees from various. The post Announcing DataHack Summit 2019 – The Biggest Artificial Intelligence and Machine Learning Conference Yet appeared first on Analytics Vidhya.

Machine Learning 227

Machine Learning Analytics Deep Learning 227

IBM Big Data Hub

JANUARY 16, 2018

Big Data and Analytics Hub spoke with IBM Distinguished Engineer John Thomas (@johnjaithomas) about some of the importance of focusing on information architecture to make algorithms meet enterprise needs, as well as how machine learning can most effectively be applied in hybrid scenarios in 2018.

Machine Learning 66

Machine Learning Big Data Enterprise Analytics 66

Sanjeev Mohan

MARCH 18, 2018

Ladies and Gentlemen, we have a new buzz word for 2018: Operationalization ! So, I was amused to see that some of these clients had chosen to send their business analytics staff to the conference this year. The post Strata Data San Jose March 2018 Musings appeared first on Sanjeev Mohan.

Big Data 62

Big Data Data Science Data Governance Software 62

IBM Big Data Hub

JANUARY 25, 2018

Big Data and Analytics Hub spoke with IBM Distinguished Engineer John Thomas (@johnjaithomas) about some of the importance of tuning information architecture to make algorithms meet enterprise needs, as well as how machine learning can most effectively be applied in hybrid scenarios in 2018.

Machine Learning 65

Machine Learning Big Data Enterprise Analytics 65

IBM Big Data Hub

MARCH 21, 2018

Are you ready for another exciting day of Think 2018? Here are our top analytics picks of the day. There’s a big day planned for you at the Cloud & Data Campus and we’re here to help you navigate the many exciting sessions.

Analytics 52

Analytics 52

Sisense

JULY 24, 2019

In my previous blog , I wrote about Natural Language Query (NLQ, or search analytics for some), as one of the major topics that we, the AI group in Sisense, are working on. NLQ is one of the oldest AI disciplines, but we’ve only recently started hearing about it in conjunction with BI and analytics. Machine Intent vs. User Intent.

Analytics 89

Analytics Experimentation Metadata Big Data 89

CIO Business Intelligence

MARCH 3, 2023

A 2018 report by consulting firm Deloitte notes that fans at home often have access to better camera angles, as well as AR/VR, multiplatform, and other multimedia options. Here are three examples of how sports organizations are using analytics to gain better insights into their venues.

Data Analytics 98

Data Analytics Analytics Measurement Metrics 98

Paul Blogs on BI

JANUARY 12, 2018

SAP’s Analytics for Cloud (fondly known as SAC and renamed twice in the last two years) has been evolving and hopes to make an impression in the market this year. Many BusinessObjects customers are not waiting and have already moved their BO deployment into the cloud and many more are planning to do so in 2018. At the same time.

Data Warehouse 45

Data Warehouse Data Processing Business Intelligence Visualization 45

Cloudera

OCTOBER 1, 2018

Representatives from across the Cloudera ecosystem came together to hear from company executives and EMEA leadership as well as interactive sessions on Machine Learning, AI and Data Analytics, Cloud and Platform as well training and certification opportunities. EMEA Analytics Partner of the Year – Cognizant.

Machine Learning 40

Machine Learning Digital Transformation Data Processing Consulting 40

Smart Data Collective

OCTOBER 13, 2020

Data analytics has been the basis for the cryptocurrency market for years. In 2018, a study from the University of Bremen in Germany discussed some of the implications of big data for the altcoin industry. They found that predictive analytics algorithms were using social media data to forecast asset prices.

Predictive Analytics 100

Predictive Analytics Analytics Forecasting Marketing 100

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect.

Analytics 90

Analytics IoT Cost-Benefit Big Data 90

Smart Data Collective

SEPTEMBER 13, 2021

Construction analytics is a new field that was worth just over $5 billion in 2018. Why is the construction analytics market growing at such a fast pace? However, the biggest benefit of construction analytics is that it can help alleviate the costs of building development mistakes. billion by 2026. Improve Documentation.

Analytics 96

Analytics Cost-Benefit Big Data Statistics 96

erwin

DECEMBER 20, 2018

With that in mind, we’ve compiled a list of the very best, best-practice blog posts from the erwin Experts in 2018. In addition to compliance, top drivers turned out to be improving customer satisfaction, reputation management, analytics and Big Data. The post Top 7 Data Governance Blog Posts of 2018 appeared first on erwin, Inc.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

Dataiku

AUGUST 31, 2021

The substantial increase in the number and magnitude of fines issued by market regulators (which have grown from $4B in 2018 to above $10B in 2020), as well as the release of record fines of above $1B to individual players, makes revisiting financial crime processes a must-do for all financial players.

Management 64

Management Analytics Marketing 64

Smart Data Collective

OCTOBER 20, 2020

Data analytics is at the forefront of the modern marketing movement. There are a number of reasons that data analytics is transforming the direction of GTM marketing in 2021. Some of these were addressed in the Data Driven Summit 2018. The Right Data Analytics Tools Must Be Leveraged for GTM Strategies. Let’s begin.

Marketing 107

Marketing Data Analytics Analytics Big Data 107

Jet Global

MAY 1, 2020

Analytics in the finance function has been top of mind for CFOs for many years. Yet despite the column inches devoted to the importance of analytics, and the wide choice of supporting tools and technologies, insight, the pinnacle of analytic effort, remains stubbornly elusive. Helpfully, the research sheds light on this too.

Finance 78

Finance Analytics Forecasting Reporting 78

Hurwitz & Associates

JULY 19, 2018

Edge-to-cloud is the central focus of Hewlett Packard Enterprise (HPE) marketing and go-to-market efforts in 2018/2019. HPE Priorities for 2018. Analytics for large data-sets will increasingly take place closer to where the data is generated, as at telcos, oil refineries, retail stores and branch operations.

Strategy 40

Strategy Data-driven Experimentation Software 40

Business Over Broadway

JUNE 29, 2020

The practice of data science, including work in machine learning and artificial intelligence, requires the use of analytics tools, technologies and programming languages. However, R usage decreased 5 percentage points (36%) from 2018 and 15 percentage points (46%) from 2017. The most popular, by far, was Python (87% used).

Machine Learning 128

Machine Learning Data Science Technology Analytics 128

O'Reilly on Data

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. Graph technologies and analytics. At the 2018 Strata Data London, data privacy and GDPR were big topics. Temporal data and time-series.

Machine Learning 277

Machine Learning Enterprise IoT Big Data 277

Smart Data Collective

JUNE 10, 2019

You probably wouldn’t think that data analytics would be the core solution. Following the groundbreaking IPCC report on climate change in October 2018, green tech companies are expected to gain bigger investments from companies looking to divest their savings from fossil fuel resources. Big Data Helps Meet UN Climate Targets.

Technology 105

Technology Data Analytics IoT Big Data 105