Artificial Inteligence Enterprise Government 
The Product Coalition
NOVEMBER 17, 2023
However, the challenge lies in dealing with the rapidly expanding volume of data due to incorporating both traditional and non-traditional data sources into the data governance ecosystem. Handling large volumes of data and complex transformations can increase operational costs and reduce productivity.
Birst BI
DECEMBER 18, 2018
The mainstream arrival of Artificial Intelligence (AI) brings with it the potential to finally meet the demand for actionable, enterprise-wide, fact-based decision making. This takes time and specialized expertise, often involving advanced machine learning algorithms that only skilled data scientists understand.
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Intercom, Inc.
DECEMBER 5, 2019
Many SaaS startups are eager to graduate to the enterprise arena. Sure, the benefits are attractive: enterprise customers usually translate to rapid growth and a significant bump in profits. Big enterprises are super demanding. Those mid-market tier companies are prime hunting grounds for next enterprise buyers.
The Product Coalition
AUGUST 25, 2020
The overlap of technological excellence and enterprise processes gives birth to new digital trends spanning different industries. It leaves a slight touch on almost all our everyday activities by changing how financial, retail, healthcare services, and enterprises operate today. TechTIQ Solutions Min. project size: $10,000 Avg.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. 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.
Mind the Product
SEPTEMBER 27, 2018
I was about to meet our biggest customer, an established enterprise owning some of the world’s most valuable brands. Taking the challenge back to the team, we decided to use artificial intelligence (AI) to tackle the problem. Decisions, knowledge, and learning are not concentrated within one team. Getting There.
The Product Coalition
JANUARY 27, 2024
Develop energy-efficient AI/ML models Develop AI models using optimization techniques like pruning and quantization during the model development and training phases. This software also helps automate and streamline compliance with non-financial regulatory and reporting frameworks, which is highly relevant to larger enterprises.
Advertiser: Data Robot
As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models. Download the report to find out: How enterprises in various industries are using MLOps capabilities.
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