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David Menninger's Analyst Perspectives
JANUARY 15, 2025
So, it is essential to incorporate external data in forecasting, planning and budgeting, especially for predictive analytics and machine learning to support artificial intelligence. External data is also essential for creating robust ML systems that support AI. Predictive analytics can include ML to analyze data quickly.
Analytics Vidhya
FEBRUARY 22, 2025
This process plays a crucial role in LLM customization, enabling models to generate more accurate, relevant, and context-aware responses.Fine-tuned LLMs can be […] The post Fine-Tuning a Model Using OpenAI Platform for Customer Query Support appeared first on Analytics Vidhya.
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KDnuggets
MAY 22, 2025
As standard PowerCenter support winds down, the path forward requires careful consideration of your organization's specific needs and constraints.
CIO Business Intelligence
OCTOBER 11, 2024
Other staff, amounting to about 100, also received AI support, even if it was less niche, such as Microsoft’s Copilot. The long-term human aspect was to make sure everyone understood the point of the AI support, and how to use the technology,” he adds. That’s crucial for success.”
Advertiser: Data Robot
Ultimately, organizations will have to improve the velocity of innovation by creating repeatable processes that support ideation, exploration, and incubation, essential to capturing an idea’s full value.
AWS Big Data
DECEMBER 20, 2024
Weve added support for DataFrame-based code generation that works across any Spark environment. The DataFrame code generation now extends beyond AWS Glue DynamicFrame to support a broader range of data processing scenarios.
AWS Big Data
NOVEMBER 22, 2024
We are excited to announce that the dbt adapter for Amazon Athena is now officially supported in dbt Cloud. Now, with support for dbt Cloud, you can access a managed, cloud-based environment that automates and enhances your data transformation workflows.
Advertiser: ZoomInfo
The growing demand among buyers for open marketing platforms that can support “BYOD” (bring your own data). How AI-powered analytics are leading to more intriguing and satisfying customer interactions.
Advertiser: ZoomInfo
Leveraging a data provider to help identify and connect with qualified prospects supports company revenue goals by alleviating common headaches associated with prospecting research and empowers sales productivity. So what’s the problem? Many organizations fail to properly evaluate vendors during the selection process.
Speaker: Ryan McInerny, CAMS, FRM, MSBA - Principal, Product Strategy
May 18th, 2023 at 9:30 am PDT, 12:30 pm EDT, 5:30 pm BST
Speaker: Dustin Smith, Sr. Product Manager, Incubator
Strategies to get internal support for your product. Join Dustin Smith, Senior Product Manager of the Innovation Incubator at Indeed, and learn how to scale your product for greatness. In this webinar, you will learn: Making the choice to scale. How to scale economically and efficiently.
Speaker: Brian Dooley, Director SC Navigator, AIMMS, and Paul van Nierop, Supply Chain Planning Specialist, AIMMS
Lack of upper management support. This on-demand webinar shares research findings from Supply Chain Insights, including the top 5 obstacles that bog you down when trying to improve your network design efforts: Poor data quality. Lack of skilled resources. Don’t have the right tools/tools are too complex or expensive.
Speaker: Bhavana Angadi, Senior Product Manager at Hopscotch (Demand & Growth) | Former Product Manager at Bigbasket
There are many frustrated customers who feel that basic information like returns and refunds are not accessible, and that they are not getting the customer support that they need. Being able to gracefully answer your customer in a timely and supportive way will bring more positive reviews, new customers, and increase retention and growth.
Advertiser: Data Robot
Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization.
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Data teams are increasingly under pressure to deliver data to support a range of consumers and use cases. DataOps techniques can address the data delivery challenges through a more agile and collaborative approach to building and managing data pipelines.
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