Octopai

MAY 31, 2022

Why on earth do you want to manage your data? If you’re now staring at the screen wondering what on earth is wrong with us for not thinking the answer is obvious, we apologize. Let’s try again. The need for data management is a given. But your why matters when it comes to choosing your process and your tools. Data management for BI is different than data management for other reasons and, correspondingly, needs a different set of tools.

Management 52

Management Metadata Business Intelligence ROI 52

Analytics Vidhya

MAY 31, 2022

This article was published as a part of the Data Science Blogathon. Introduction on SQL Questions This blog consists of various topics of SQL and their explanation with answers. There are 12 theoretical questions that are frequently asked in interviews for freshers level and below, there are 15 MCQs related to SQL Questions for practice. […]. The post Guide for Interview Questions for SQL appeared first on Analytics Vidhya.

Data Science 307

Data Science Publishing Analytics 307

CIO Business Intelligence

MAY 31, 2022

Every CIO understands that when it comes to the technical performance of your company and protecting the reputation of your brand, the buck stops with you. In an age where every brand is considered a digital brand because the customer’s main touchpoint is a mobile application, the CIO is the head of product and Chief Marketing Officer at the same time.

Testing 144

Testing Software Reporting Marketing 144

Analytics Vidhya

MAY 31, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Amazon Sagemaker Amazon Sagemaker is arguably the most powerful, feature-rich, and fully managed machine learning service developed by Amazon. From creating your own labeled datasets to deploying and monitoring the models on production, Sagemaker is equipped to do everything.

Machine Learning 305

Machine Learning Data Science Publishing Modeling 305

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Visualization

Smart Data Collective

MAY 31, 2022

Big data technology is having a huge impact on the state of modern business. The technology surrounding big data has evolved significantly in recent years, which means that smart businesses will have to take steps to keep up with it. One of the biggest breakthroughs for data-driven businesses has been the development of data activation. What is Data Activation?

Data Warehouse 131

Data Warehouse Big Data Data-driven Technology 131

Analytics Vidhya

MAY 31, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Time Series Forecasting Unicorn Investors wants to make an investment in a new form of transportation – JetRail. JetRail uses Jet propulsion technology to run rails and move people at a high speed! The investment would only make sense if they […]. The post Time Series Forecasting Using Python appeared first on Analytics Vidhya.

Forecasting 304

Forecasting Data Science Publishing Technology 304

Analytics Vidhya

MAY 31, 2022

This article was published as a part of the Data Science Blogathon. Introduction YARN stands for Yet Another Resource Negotiator, a large-scale distributed data operating system used for Big Data Analytics. Initially, it was described as “Redesigned Resource Manager” as it separates the processing engine and the management function of MapReduce. Apart from resource management, […].

Big Data 271

Big Data Data Science Publishing Data Analytics 271

CIO Business Intelligence

MAY 31, 2022

Businesses are racing toward a future very different from the one they were designed to operate in, as the past few years have brought unexpected change beyond what many could have imagined. A more recent phenomenon, the metaverse, will transform how businesses interact with customers, how work is done, what products and services companies offer, how they make and distribute them, and how they operate their organizations.

Technology 116

Technology Experimentation Interactive IoT 116

Analytics Vidhya

MAY 31, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Big Data File Formats In the digital era, every day we generate thousands of terabytes of data. The most challenging task is to store and process this data. These data are generated from different sources like social media, web applications, cell […]. The post All About Big Data File Formats appeared first on Analytics Vidhya.

Big Data 271

Big Data Data Science Publishing Analytics 271

CIO Business Intelligence

MAY 31, 2022

A plethora of digital health solutions are launched every year in India. However, only a few of them get adopted by doctors. To overcome the bottlenecks and accelerate the adoption of digital healthcare innovation in the country, a top enterprise technology leader has adopted a novel approach. In 2021, Dr Satish Prasad Rath, chief innovation and research officer at Aster DM Healthcare, made a lateral shift in his organization.

IT 115

IT IoT Testing Technology 115

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Management

Analytics Vidhya

MAY 31, 2022

This article was published as a part of the Data Science Blogathon. Introduction on SQL Server SQL Server is an RDBMS developed and maintained by Microsoft to support a wide variety of transaction processing, data storage and retrieval, etc. Constraints are used in SQL Server to prevent the insertion of unwanted data in the tables. […]. The post Exploring Constraints in SQL Server appeared first on Analytics Vidhya.

Data Science 271

Data Science Publishing Analytics 271

CIO Business Intelligence

MAY 31, 2022

By Milan Shetti. As companies look to modernize their technology as quickly as possible, they’re often finding it’s harder than ever before to bring on the talent needed to do so. In today’s hot hiring market, filling tech-focused roles from CIOs to developers is proving difficult. I have seen firsthand how the past few years have put transformation efforts into overdrive.

Digital Transformation 111

Digital Transformation Marketing Software Technology 111

Analytics Vidhya

MAY 31, 2022

This article was published as a part of the Data Science Blogathon. Introduction Data Engineering Tools Data Engineering is a growing sector that’s gaining a lot of attention as new technology creates more and more influx of Big Data. This Data needs to be cleaned, processed, and sorted to actually be able to provide key […]. The post Most Used Data Engineering Tools Used Worldwide appeared first on Analytics Vidhya.

Big Data 271

Big Data Data Science Publishing Technology 271

CIO Business Intelligence

MAY 31, 2022

You could say that, in the past, occupational safety lacked imagination. When construction began on San Francisco’s Golden Gate Bridge in 1933, it was still considered a novel idea to rig up a simple safety net under the structure. That net caught 19 falling workers. But these days, digital technology is inspiring a new era of innovation. One great example is a mobile app recently developed by the German utility, Netze BW.

Machine Learning 105

Machine Learning Technology Risk Marketing 105

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

Analytics Vidhya

MAY 31, 2022

This article was published as a part of the Data Science Blogathon. Introduction As part of performing operations on the Table, we often need to remove records or remove the entire table from the database, so we can use the DELETE, TRUNCATE, and DROP commands. People often get confused about which statement to use when […]. The post Comparison of DELETE, TRUNCATE and DROP Commands in SQL appeared first on Analytics Vidhya.

Data Science 271

Data Science Publishing Analytics 271

TDAN

MAY 31, 2022

Synthetic Data is, according to Gartner and other industry oracles, “hot, hot, hot.” In fact, according to Gartner, “60 percent of the data used for the development of AI and analytics projects will be synthetically generated.”[1] I had never heard about synthetic data until I listened to the AI Today podcast, hosted by Kathleen Welch […].

Data Processing 105

Data Processing Analytics Data Architecture Data Governance 105

Analytics Vidhya

MAY 31, 2022

This article was published as a part of the Data Science Blogathon. Introduction on AWS Sagemaker Data scientists need to create, train and deploy a large number of models as they work. In most environments, they face a lot of difficulties scaling up or down the necessary processes and resources. AWS has created a simple […]. The post An Introduction to AWS Sagemaker for Beginners appeared first on Analytics Vidhya.

Data Science 268

Data Science Publishing Modeling Analytics 268

Smart Data Collective

MAY 31, 2022

Machine learning and artificial intelligence (AI) have certainly come a long way in recent times. Towards Data Science published an article on some of the biggest developments in machine learning over the past century. One of the most remarkable changes has been the Named Entity Recognition tool, which can differentiate between the capitalization rules of German and English.

Machine Learning 103

Machine Learning Cost-Benefit Data Processing Metrics 103

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Manufacturing

CIO Business Intelligence

MAY 31, 2022

What is business process management? The key to enterprise agility. Business process management (BPM) is the practice of discovering and controlling an organization’s processes to align them with business goals as the business evolves. Business process management definition. Business process management (BPM) is the practice of discovering and controlling an organization’s processes to align them with business goals as the business evolves.

Enterprise 104

Enterprise Management Interactive Software 104

TDAN

MAY 31, 2022

The main goal of creating an enterprise data fabric is not new. It is the ability to deliver the right data at the right time, in the right shape, and to the right data consumer, irrespective of how and where it is stored. Data fabric is the common “net” that stitches integrated data from multiple data […].

Metadata 98

Metadata Enterprise IT Data Architecture 98

KDnuggets

MAY 31, 2022

This article will explore a few areas that we feel are essential when assessing data management solutions for computer vision.

Management 112

Management IT 112

Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ When combined with Citizen Data Scientist initiatives, the adoption and use of predictive modeling and forecasting techniques can be a boon to any enterprise.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Management

KDnuggets

MAY 31, 2022

Add Layer to your existing ML code and quickly get a rich model and data registry with experiment tracking!

Metadata 108

Metadata Modeling 108

TDAN

MAY 31, 2022

The Titanic set sail on its maiden voyage on April 10, 1912. Four days later on April 14th, the ship collides with a submerged iceberg and sinks in less than three hours. The captain and his crew had insufficient knowledge of the danger that lurked beneath the sea. This lack of awareness led to the […].

IT 59

IT Metadata Data Strategy Data Governance 59

DataRobot Blog

MAY 31, 2022

Hiring and retention across most government organizations is a challenge. For instance, in 2019, the Government Acquisition Office (GAO) researched and identified 35 high-risk hiring areas. The Office of Personnel Management (OPM) began tracking time-to-hire (T2H) requirements in 2008 and found that the average government hire took around 100 days. As a comparison, external reports have found that public sector T2H averages three times as long as the private sector, 119 days compared to 36 days.

Management 59

Management Risk Testing Modeling 59

Dataiku

MAY 31, 2022

“Fortune 1000 retailers were among the earliest and most aggressive backers of artificial intelligence (AI), especially with the arrival of e-commerce and, particularly, online pricing. Yet retailers have been hesitant to fully embrace AI deployments in many other areas of their business for a wide range of reasons, including underlying data inaccuracies, operational disruptions, and even perceptions of privacy issues.”.

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Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Testing

TDAN

MAY 31, 2022

In my September 2020 Data is Risky Business column for TDAN.com, I wrote about the strategy lessons for data that we can learn from the writings of a 16thcentury Japanese swordsman. To summarize: – We need to study different disciplines to understand how they relate to each other. Expertise in all is not required, but basic […].

Strategy 52

Strategy Data Architecture Data Strategy Metadata 52

datapine

MAY 31, 2022

Table of Contents. 1) What Is Cloud Computing? 2) The Challenges Of Cloud Computing. 3) Cloud Computing Benefits. 4) The Future Of Cloud Computing. Everywhere you turn these days, “the cloud” is being talked about. It’s a hot topic, and as technologies continue to evolve at a rapid pace, the scope of the cloud continues to expand. Yes, this ambiguous term seems to encompass almost everything about us.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

TDAN

MAY 31, 2022

One very influential factor that can potentially undermine your data and document strategies is the natural and emotional reactions of people when things change. It is common to take great care in the selection and implementation of new technology. Interactions between hardware and software are cautiously investigated, operating systems and network connections are carefully tested, […].

Testing 52

Testing Interactive Strategy Software 52

CIO Business Intelligence

MAY 31, 2022

In the endless need for speed, digital leaders continue their shift from project to product orientation. However, this shift is not a “set it and forget it” initiative. It requires nurturing and continuous evolution that often leads CIOs to wonder: is our team doing this because it’s trendy, or are we in this to drive meaningful change? . Defining and rolling out a product operating model is just the beginning of a long road wrought with blind turns and detours.

IT 120

IT Finance Cost-Benefit Modeling 120

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

Risk