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Your Data Won’t Speak Unless You Ask It The Right Data Analysis Questions

datapine

Although organizations spend millions of dollars on collecting and analyzing data with various data analysis tools , it seems like most people have trouble actually using that data in actionable, profitable ways. Your Chance: Want to perform advanced data analysis with a few clicks? Data Is Only As Good As The Questions You Ask.

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Examples and uses of GIS

IBM Big Data Hub

Software solutions that combine geospatial data, GIS mapping and advanced environmental analytics enable organizations to make different types of weather-related data actionable. For example, companies use GIS technology to ensure resources, including equipment and employees, are where they need to be—in-house or off-property.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

quintillion bytes of data being produced on a daily basis and the wide range of online data analysis tools in the market, the use of data and analytics has never been more accessible. It goes all the way from the acquisition of data and the implementation of advanced data processes, to an effective distribution of data.

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Conversational AI use cases for enterprises

IBM Big Data Hub

NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately. This sophisticated foundation propels conversational AI from a futuristic concept to a practical solution. DL models can improve over time through further training and exposure to more data.

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Transforming Telco with Trusted AI Everywhere

Cloudera

The AI technologies of today—including not just large language models (LLMs) but also deep learning, reinforcement learning, and natural-language processing (NLP) tools—will equip telcos with powerful new automation and analytics capabilities. AI-powered automation is already driving significant margin growth by reducing costs.

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The most valuable AI use cases for business

IBM Big Data Hub

The easy answer is mostly manual labor, although the day might come when much of what is now manual labor will be accomplished by robotic devices controlled by AI. There’s no need to make customers wait for the answers to frequently asked questions (FAQs) or to take the next step to purchase.

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Observe Everything

Cloudera

Over the past handful of years, systems architecture has evolved from monolithic approaches to applications and platforms that leverage containers, schedulers, lambda functions, and more across heterogeneous infrastructures. Monitoring alone will tell you when something’s not as it should be, but that’s not answering the question of “why?”

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