Welcome to another edition of Executive Data Bytes. This week, we are illustrating the point that there is no such thing as a crazy idea!
An idea is just a thought, a mental spark. It’s neither good nor bad until someone translates it into reality. Ultimately, it’s the context that proves whether an idea was good or not; even a ‘brilliant’ idea is worthless if it stays in someone’s head.
Welcome to another edition of Executive Data Bytes! This week, we are talking about how businesses can apply Deep Learning. And impact it’s having across all verticals.
But what is deep learning? Deep learning is a machine learning technique that teaches computers to do what comes naturally to humans. With various uses, deep learning allows users to achieve more and to always be learning.
Welcome to another edition of Executive Data Bytes! This week, we are discussing the impact of machine learning and everyday business practices. Today, leading companies such as Uber, Facebook , Google, make machine learning part of their main operations. We are here to speak about Machine Learning and how it can boost your business!
Welcome to another edition of Executive Data Bytes! This week we are comparing futuristic predictions from the past with modern day technology.
Science fiction introduces us to elaborate, futuristic worlds that often sound like nothing more than an impossible dream. But today many of those “dreams” have become reality. So, what’s the lesson here? Imagine. Dream. Innovate. Nothing is out of reach!
Welcome to another edition of Executive Data Bytes! This week, join us as we delve into the Data Articulation Layer, and how it’s implementation ensures data analysis success. Also, see real world applications! Focus piece: “8 top data science applications and use cases for businesses”
Welcome to another edition of Executive Data Bytes! This week, we are exploring the importance of explainable machine learning.
In “ROI from AI: The importance of strong foundations,” discover how implementing key practices in data management, tracking results, and security, privacy, and ethics can lead to a 4.3% ROI for AI projects compared to 0.2% for beginners.
Uncover the challenges of delivering ROI in “AI investment to increase but challenges remain around delivering ROI.” Learn that 40% of AI projects are not yet profitable, and companies face hurdles in realizing strategic, operational, and financial benefits.
“4 Ways That You Can Prove ROI From AI” outlines strategies to ensure AI deployment contributes to ROI, emphasizing the importance of AI’s role in expansion and growth.
In “Three Ways To Overcome Industrial AI Roadblocks,” explore how data quality, collaboration, and strategic planning are essential for realizing the full potential of Industrial AI in the oil, gas, and energy sectors.
Learn about unlocking the true potential of automation technologies and dispelling myths in “Overcoming Real And Imagined Roadblocks To Automation” from StrategicCFO360.
Dive into the world of AI adoption challenges in “Common Roadblocks to Successful Enterprise AI Adoption (And How to Overcome Them)” by eInfochips. Discover strategies to tackle technology, cultural, and data-related obstacles.
Unlock the power of data by assessing your organization’s data maturity. This blog post explores the six key areas, from IT infrastructure to business strategy, and outlines how to calculate your data maturity score. Learn how data maturity can lead to a competitive advantage.
After assessing your data maturity, it’s time to choose the right data governance maturity model. LightsOnData offers valuable insights into selecting the ideal model based on your business drivers, goals, resources, and existing frameworks. Explore how industry peers’ experiences can inform your decision
Changing an organization’s culture to embrace data-centric decision-making can be challenging. Forbes discusses four main pillars to focus on: Shifting Mindsets, Strengthening Skillsets, Sharpening Toolsets, and Solidifying Datasets.
Unlock the power of data by creating a data-driven culture within your organization. Harvard Business Review outlines ten essential steps, including setting data-driven expectations from the top, choosing metrics wisely, integrating data science, and quantifying uncertainty.