data-strategy-future 
CIO
JANUARY 22, 2024
As enterprises become more data-driven, the old computing adage garbage in, garbage out (GIGO) has never been truer. The application of AI to many business processes will only accelerate the need to ensure the veracity and timeliness of the data used, whether generated internally or sourced externally.
Data Virtualization
DECEMBER 9, 2021
But do you wonder what the future of data strategy looks like? Data exploration and analysis can bring enormous value to a business. The post The Future of Data Strategy appeared first on Data Virtualization blog. The world is becoming more and more digital, isn’t it?
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Data Virtualization
DECEMBER 9, 2021
But do you wonder what the future of data strategy looks like? Data exploration and analysis can bring enormous value to a business. The post The Future of Data Strategy appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.
Cloudera
AUGUST 9, 2022
With all of the buzz around cloud computing, many companies have overlooked the importance of hybrid data. The truth is, the future of data architecture is all about hybrid. As a leader in hybrid data, Cloudera is positioned to help organizations take on the challenge of managing and analyzing data wherever it resides.
Speaker: Phil Irvine, VP & Director of Audience Intelligence
The more personalized an organization can be with growth strategies and communications, the more likely engagement would increase and ultimately sales. To accomplish this, organizations have traditionally leaned into historical customer and product data to predict how to engage with their current and future customers in a personalized manner.
TechEmpower CTO
MARCH 4, 2024
Post-sale, AI analyzes customer data to improve service and loyalty, making it a cornerstone of modern sales methodologies. This AI-centric approach transforms sales into a data-driven field, emphasizing efficiency and personalized customer experiences.
N2Growth Blog
APRIL 11, 2024
This planning secures the organization’s future by training competent leaders and fosters a culture of development that can make an organization an employer of choice. Artificial Intelligence , machine learning, and data analytics have emerged as clear frontrunners.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
Speaker: Anita Lauper Wood, Product Strategist
Having insights about people, such as understanding purchase intent or pinpointing future inventory needs, gives products the ability to leverage that data and provide significant added value. There are risks that need to be consciously addressed, and successful implementation requires the right strategy.
Advertiser: Data Robot
When it comes to working with the empowered consumer, AI has the power to help your business thrive by leveraging your own data to better understand your customers. Predicting the next CRM state, which can inform the strategy of future marketing communications.
Speaker: Gautam Nimmagadda, CEO, Quixy
Product Managers: are you wondering how your teams will work in the future? How to recognize emerging trends in tech today and leverage them to stay agile for a holistic business strategy. A roadmap to business excellence by understanding the importance of harnessing data, and automating processes.
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