Technology and Data Analytics Blog

From Cost-cutting to Fraud Detection: 3 ways in which implementing AI Can Help Your E-commerce Business Thrive

From Cost-cutting to Fraud Detection: 3 ways in which implementing AI Can Help Your E-commerce Business Thrive

Artificial Intelligence and Machine Learning have revolutionized the way data is analyzed and handled throughout the e-commerce industry. By leveraging AI and ML, e-commerce businesses can extract insights from large volumes of data, optimize pricing strategies, forecast demand, and detect fraud. Ho...

04.04.23 09:53 AM - Comment(s)

From Data to Action:The Benefits of Implementing Predictive Analytics in Higher Education

From Data to Action:The Benefits of Implementing Predictive Analytics in Higher Education

Higher education institutions face numerous challenges in ensuring that students succeed and graduate on time. One of the primary challenges is identifying students who are at risk of dropping out or failing, so that proactive support and interventions can be provided to improve their chances of suc...

27.03.23 10:28 AM - Comment(s)

Let's talk about Chat GPT

Let's talk about Chat GPT

As a language model, ChatGPT can be a powerful tool for marketers to engage with their audience and drive business results. In this blog, we'll explore how ChatGPT can be used in marketing and provide some examples of its applications.

24.02.23 11:42 AM - Comment(s)

How is Machine Learning and Artificial Intelligence changing our approach to marketing and the way we interact with clients

How is Machine Learning and Artificial Intelligence changing our approach to marketing and the way we interact with clients

Each day it is more undeniable that A.I. is taking over modern business models by allowing the automation of processes and simplifying how important data is handled. Marketing is not the exception. Focused on new fresh ideas, marketers are always on the look out for tools that allow accurate, easy a...

10.02.23 01:26 PM - Comment(s)

Hairball of data: How too much data in organizations is creating a hairball of data

Hairball of data: How too much data in organizations is creating a hairball of data

Data driven analytics, semantic data, cloud based analytics

04.12.22 10:41 PM - Comment(s)

How Machine Learning and AI can modernize an organization

How Machine Learning and AI can modernize an organization

How Machine Learning and AI can modernize an organization

04.12.22 10:40 PM - Comment(s)

WHAT IS DATA SECURITY LANDSCAPE?

WHAT IS DATA SECURITY LANDSCAPE?

Data Security, Data security threats, Data Security Landscape, Data Privacy, Data security definition, Data security Software, data security analyst, data security policy, data security solutions, types of data security, data security methods, data security process

14.11.22 11:58 PM - Comment(s)

5 HIGHLY EFFECTIVE TERMS AND BENEFITS FOR SUCCESSFUL PROSPECT RESEARCH

Prospect Research is a technique used by fundraisers, development professionals, and organizations to learn about a prospect's past donations, personal background, and so on.

14.11.22 11:40 PM - Comment(s)

ONTOLOGY: THE NATURE OF REALITY

ONTOLOGY: THE NATURE OF REALITY

Ontology is the philosophical study of existence, being, and reality. In other words, ontology is the investigation of the most basic categories of things and how they are related to one another.

14.11.22 11:27 PM - Comment(s)

Untangling the Hairball of Data

Untangling the Hairball of Data

There are measures in terms of processes, people and technology that an organization would need to take in order to untangle the data hairball.

14.11.22 11:03 PM - Comment(s)

Use of Data Science in Prospect Research

Use of Data Science in Prospect Research

Data Science, is the most in-demand nowadays because the industry is growing quickly in that field, and it is also a career path for the majority of skilled professionals.

14.11.22 10:52 PM - Comment(s)

Doubling your fundraising dollars using Sentiment Analysis

Doubling your fundraising dollars using Sentiment Analysis

Fundraising organizations can use Sentiment Analysis to fully comprehend how prospects and donors feel about their brand and experience.

14.11.22 10:36 PM - Comment(s)

A data-driven approach to maximizing business value - Part I

A data-driven approach to maximizing business value - Part I

Data-driven decision-making is the practice of using insights derived from the data to make a better decision!

14.11.22 10:19 PM - Comment(s)

A data-driven approach for fundraising growthPart II

A data-driven approach for fundraising growthPart II

A data-driven approach to fundraising. How do fundraisers use data? Fundraising metrics to help boost donations and success strategies.

14.11.22 09:59 PM - Comment(s)

Big Data Analytics: How to Handle It

Big Data Analytics: How to Handle It

Simply said, the optimal use of Big Data is inside systems and processes that decrease data footprints significantly. What are the benefits of reducing your data footprint?

14.11.22 09:16 PM - Comment(s)

How companies are using data and information to make smart operational decisions

How companies are using data and information to make smart operational decisions

Every business, before jumping on the data collection bandwagon, need to develop a data strategy. Any company that is collecting data without a coherent strategy needs to pause and develop one.

14.11.22 09:00 PM - Comment(s)

How to Tame Big Data analytics

How to Tame Big Data analytics

How to Tame Big Data Analytics

14.11.22 08:36 PM - Comment(s)

Log4j Vulnerability

The internet vulnerability Log4Shell, which affects millions of machines, is caused by Log4j, an obscure but practically ubiquitous piece of software.

14.11.22 08:11 PM - Comment(s)

8 Ways on applying Deep Learning into various business use-cases.

8 Ways on applying Deep Learning into various business use-cases.

Deep learning, as the fastest-growing field of AI, is enabling significant development in all types of new sectors.

13.11.22 09:48 PM - Comment(s)

Why do most data science projects never make it to production?

Why do most data science projects never make it to production?

Most large firms are looking at the possibilities of AI/ML, but data science fails to take things to the next level.

13.11.22 08:53 PM - Comment(s)

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