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Related Posts about : data

Modern Data Strategy to Transform Chaos into Growth

Praveen Kumar

Financial institutions face increasing regulatory pressure and rising customer expectations. This has given rise to a pressing need within the financial services industry to modernize data. Anchored in governance, quality, security, and alignment, a modern data strategy helps unlock trusted insights, enable AI adoption, and ensure regulatory compliance at scale. Praveen Kumar, Practice Leader Data & AI, explores how to modernize your data strategy through four practical phases, aligned with emerging trends and embedded in solving data complexities to gain a competitive edge and generate business impact.

Quantum Computing Demystified: An Executive’s Guide

Atif Bukhari

Quantum computing is more than just a technological leap—it’s a paradigm shift that will redefine problem-solving and decision-making. This guide is a collaboration between Atif Bukhari, Solution Architect, and Hussain Qureshi, President at mobileLIVE, in which the two break down what every executive needs to know about the inevitable quantum leap, from its impact on software architecture to real-world applications in optimization, security, and AI. While most companies focus on AI and machine learning, those who prepare for the quantum era today will lead tomorrow. If you want to stay ahead of the curve and understand how this emerging technology will shape the future of business, this guide is for you. Don’t get left behind—start exploring the quantum advantage now.

Three Fundamental Steps to Unlock AI’s Full Potential

Mudassar Malik

The business world is buzzing with the transformative power of AI, but many companies struggle to turn that potential into tangible results. How can you move beyond the hype and harness AI to solve real business problems? In this article, gain expert insights from Inanc Cakiroglu, Director of AI and Analytics at mobileLIVE, who shares a practical 3-step framework for successful AI implementation. Learn the importance of defining a clear business problem before exploring solutions, discover the key “filter actions” for choosing the right AI approach, and understand why data readiness is the fuel that drives it all.

AI in Pharma: Transforming Drug Discovery, Development, and Patient Care

Imran Mian

The global pharmaceutical industry is undergoing a profound transformation, driven by remarkable advancements in artificial intelligence. AI is no longer a futuristic concept but a disruptive force reshaping drug discovery, manufacturing processes, and patient care. This article delves into the insights of Nitesh Soni, Global AI Solutions Leader at Sanofi, revealing how AI is accelerating the development of new medicines, personalizing treatments, and optimizing manufacturing for a global market. Explore the potential of compound AI systems, the importance of ethical considerations, and the crucial role of data quality in building a trustworthy AI-powered future for global pharma.
data-driven-decisions

3 Techniques To Make Data-Driven Decisions with User Data Analytics

Ali Ayub Khan

In a world of cut-throat competition in every industry where businesses operate in the digital space, missing out on key user insights and relying on guesswork can prove to be fatal for your business. Leaving things to chance when it comes to understanding what your users really want from their experience with your product can be detrimental. On the other hand, carefully studying your users, their behaviors, and their interactions has endless benefits — both on the outside and within your organization. In this article, Associate Product Manager Ali Ayub Khan reveals three of the most effective techniques that help you drive better data-driven decisions every single day.
Products-Drive-Data

Do Products Drive Data or Does Data Drive the Product?

Ali Ayub Khan

Ever since the rise of data management, big data, and data-driven decisions, product teams have relied on tools and systems that help collect this data and analyze it for better products. But where does this data come from? Even if we answer this question, it leads to another: What data exactly is actually needed to make better decisions at each stage of the product life cycle, from acquisition to retention to expansion? In this article, we set out to extract only the best metrics you need to measure (and how you can calculate them) to get the most out of product management.
mobile experience

I’m Connected but am I Connected to You?

Mudassar Malik

Hi there, it’s me, your customer. The one you spend millions of dollars – on mobile apps development and otherwise – trying to connect with during the waking hours? Ya, that one. Well, guess what? I am connected. But perhaps the term “connected” is misleading. I prefer to view myself as “empowered.” And if you […]
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How to Effectively Use Adobe Analytics for Data-Driven Decisions

Jigar Solanki

I remember a few years ago, I was in a meeting, and the agenda turned out to be website analytics. Typically, anything data and analytics related is of interest to me, so my ears perked instantly up. However, I was shocked and disappointed that the duration of that “website analytics agenda” consisted of announcing that […]
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