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Aug 7, 2024 | 
forrester.com | Zeid Khater |Naomi Marr |Karen Tran
Forrester’s recent AI Pulse Survey, Q2 2024, indicates that at least 78% of AI decision makers see generative AI impacting IT infrastructure and architecture. But the landscape of AI applications is ever-changing. To make matters more challenging, the need for data to flow across distributed systems can slow down its availability and usability for AI applications.
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Jul 6, 2024 | 
cdotrends.com | Zeid Khater
Synthetic data is not a new phenomenon. Rules-based synthetic data has been around longer than most people realize. It is commonly used in analytics for data augmentation, conjoint model analysis, and simulation testing. Rules-based methods, however, lack flexibility and struggle with complex data distributions. Assumptions made during rule creation don’t always hold universally, and manually defining rules can become impractical as datasets grow.
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Jul 1, 2024 | 
forrester.com | Boris Evelson |Zeid Khater |Liz Herbert
Many of us remember the old days of enterprise business intelligence (BI) delivery where all requests for new or changed queries, reports, and dashboards had to go through a centralized IT team of BI and data professionals. Today, enterprise BI users enjoy some level of self-service from modern BI platforms with rich semantic layers, graphical user interfaces (GUI), and guided analytics.
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Jul 1, 2024 | 
forrester.com | Zeid Khater |Liz Herbert |Noel Yuhanna
Synthetic data is not a new phenomenon. Rules-based synthetic data has been around longer than most people realize. It is commonly used in analytics for data augmentation, conjoint model analysis, and simulation testing. Rules-based methods, however, lack flexibility and struggle with complex data distributions. Assumptions made during rule creation don’t always hold universally and manually defining rules can become impractical as datasets grow.
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Nov 2, 2023 | 
forrester.com | Zeid Khater
Der Siegeszug generativer KI-Anwendungen (GenAI) hat eine Fülle von Möglichkeiten eröffnet, die der Geschäftswelt einen noch nie dagewesenen Zugang zu künstlicher Intelligenz bietet und der Chefetage erhebliche Kosteneinsparungen verspricht. Der Weg zur effektiven Umsetzung ist jedoch nicht so einfach, wie es vielleicht aussieht. Voraussetzung ist eine solide Grundlage in den Bereichen Daten und Analysen.
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Oct 26, 2023 | 
forrester.com | Brett Kahnke |Zeid Khater |Laura Ramos
Over the past year, much of my research focused on the biggest challenges B2B marketing and sales teams are facing when using intent data. In blogs, I’ve helped companies understand how to choose an intent provider and covered the biggest mistakes we’ve seen when leveraging intent data. For Forrester Decisions clients, my colleagues and I provided an introduction to the market, described the provider landscape, and produced our first Forrester Wave™ evaluation dedicated to intent.
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Oct 26, 2023 | 
forrester.com | Michele Goetz |Craig Le Clair |Zeid Khater
No one can deny that 2023 was the year of generative AI (genAI). It had all the hallmarks of a breakthrough year, with industry activity such as new products and mergers as well as enterprise activity centered around feeling the pressure to get moving with genAI. So the real question is what genAI, and AI in general, will bring in 2024: Will it live up to the massive amount of hype we’ve seen in 2023? The short answer is yes.
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Oct 26, 2023 | 
forrester.com | Craig Le Clair |Michele Goetz |Zeid Khater
A year ago, the biggest concern for automation was the dampening effect of economic uncertainty. But what a difference a year can make. In 2024, leading firms will surge ahead with transformative automation initiatives, fueled by a new wave of AI enthusiasm. Physical and cognitive automation will be boosted by advances in physical automation and practical application of large language models (LLMs) in operational enterprise use cases.
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Oct 26, 2023 | 
forrester.com | Zeid Khater |J.P. Gownder |Paul Miller
The advent of generative AI (genAI) applications has opened a world of possibilities, offering unprecedented access to artificial intelligence for business professionals and promising significant cost savings for the C-suite. The journey toward effective implementation is not as straightforward as it may seem, however. It necessitates a robust foundation in data and analytics, underscoring the importance of not just having data but a foundational emphasis on the quality and relevance of that data.
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Jul 28, 2023 | 
forrester.com | Mo Allibhai |Zeid Khater |Dipanjan Chatterjee
AdTech is supposed to efficiently connect marketers with publishers; demand with supply. Marketers rely on a suite of vendors including demand-side platforms ( DSPs) furnish brand-safe, fraud-free inventory, and publishers use supply side platforms (SSPs) to match their unique content to relevant ads and buyers. Ads and cash travel one way; as the funds are dispersed enroute to DSPs, SSPs and programmatic data providers, with publishers ending up with a small percentage of the overall revenue.
