The COVID-19 pandemic has disrupted industries worldwide, forcing market researchers to adapt and seek new opportunities amidst uncertainty. One key shift has been a move from relying solely on quantitative data to tapping into the richer, deeper insights offered by qualitative research. In this article, we will explore how qualitative research has evolved and adapted in response to the pandemic,
In the rapidly evolving landscape of B2B marketing, successful Account-Based Marketing (ABM) hinges on understanding your best-fit customers and providing a robust customer experience that secures the most value. By bridging the gap between sales and marketing, data collaboration plays a pivotal role in achieving effective ABM strategies. Collaboration between Sales and Marketing Teams Sales and marketing teams must work
Data has become an integral part of modern society, and with it, the need for extracting meaningful insights and analysis has never been more critical. The rise of Big Data and advanced analytics techniques has transformed the field of data analysis, leading to the emergence of Data Science as a distinct discipline. This article aims to provide an overview of
Artificial intelligence (AI) technology has been advancing at a rapid pace in recent years, and with it comes the growing concern of deepfakes. Deepfakes are AI-generated photos or videos that manipulate visual content to create a new, often misleading perception. As the use of deepfakes has become more prevalent, the need for regulation and labeling of AI-generated visual content has
As businesses increasingly rely on data centers, the associated energy consumption has become a major concern. Data centers consume massive amounts of energy, and optimizing their energy efficiency has become a key priority for businesses. One significant factor in energy consumption is airflow management. Efficient movement of air within data centers can significantly reduce the energy required to cool IT
Artificial intelligence (AI) has revolutionized the world of data analysis and made it possible to handle vast quantities of complex information quickly and accurately. However, the effectiveness of AI analysis largely depends on the quality and quantity of the data used to train and test the algorithms. Collecting sufficient data without bias is essential to improve the performance of AI
In the fascinating realm of Account-Based Marketing (ABM), where data and creativity fuel strategies, navigating the challenges and ethical considerations that lie in wait is paramount. In this article, we will dive into the magic of machine learning for account segmentation and targeting, and uncover how it revolutionizes the ABM landscape. The Importance of Effective Segmentation and Targeting in ABM
The cloud-based data warehouse company Snowflake has been on an acquisition spree lately, acquiring seven companies in three years. The latest on their list is Neeva, a startup based in Mountain View, California, specializing in generative AI-based search. Snowflake has acquired Neeva to add this technology to its Data Cloud platform. This will enable users to make more informed decisions
In today’s data-driven society, the rise of Big Data has given birth to two new industry buzzwords: Data Science and Data Analytics. These two terms are often used interchangeably, but they each have a distinct set of goals and objectives. In this article, we will explore the difference between Data Science and Data Analytics in detail to provide a better
A customer data platform (CDP) is a tool that businesses use to generate a unified view of their customers across a variety of channels and then utilize this data to make informed, data-driven decisions. As a result, businesses are increasingly adopting CDPs to streamline their operations and improve the customer experience. In this article, we will explore the global customer
In today’s fast-paced business environment, data has become an integral part of decision-making. A successful data-driven organization needs an effective data strategy to streamline its activities and prevent investments in improving analytics and business insights from going to waste. However, only 30% of companies have impactful data strategies that align with their operations, resulting in wasted investments. This article explains
Artificial intelligence (AI) is gaining traction among organizations of all sizes as a critical tool for improving business operations. According to recent studies, AI can boost company productivity by as much as 1.5%, a percentage that can translate into a 30% increase in profits for companies listed on the S&P 500. It is no wonder that organizations worldwide are investing
