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AI

How AI Phone Support Can Solve Common Dining Reservation Challenges

One can envision entering a realm where reserving a table at their preferred restaurant is as simple and expedient as placing a phone call, irrespective of the hour or day. This has become a tangible reality due to the technological advancements that have transformed culinary experiences. Conventional reservation systems, characterized by their congested timetables and restricted operational periods, have historically caused discontent among both patrons and dining establishments. Introduced is an innovative solution known as AI phone support for restaurant.

The role of secure data storage in fueling AI innovation

Artificial intelligence is the most exciting technology revolution of recent years. Nvidia, Intel, AMD and others continue to produce faster and faster GPU’s enabling larger models, and higher throughput in decision making processes. Outside of the immediate AI-hype, one area still remains somewhat overlooked: AI needs data (find out more here).

AI realism (part two)

Emotions are running high about AI technologies. In this 2-parter, I do my best to make a rational case for the state of AI, and how we can respond to it. This is the second part; catch up with part one here. Today, we’ll talk about developing a company culture that thrives on experimentation and unpredictability. I’ll describe the conditions that can keep a product company nimble and healthy during a period of rapid change, enabling it to take advantage of emerging technologies.

How AI is a Shift Right for IT, Robert Grazioli, CIO, Ivanti

Find out how AI can help IT reduce burnout and power better Everywhere Work in Ivanti’s latest report: ivanti.com/research. Without data, you are not going to have AI. But the key here is to have a data architecture that will enable AI, says Ivanti CIO Robert Grazioli. Citing Ivanti’s research report, Everywhere Work Report 2024, he covers why remote and hybrid work has increased the burden and responsibility on today’s IT teams, and why AI is seen by many as a solution to lessen IT stress and put the power back in the hands of the end user.

The next buzz in the city of bees: digital infrastructure, AI, and Manchester

Manchester has come a long way - from pioneering the world’s first stored program digital computer, to becoming the top tech city in the UK outside of London. The MCC 2021-2026 Digital Strategy now guides a £5bn digital economy, with more than 10,000 businesses employing over 96,000 people. It has seen the development of five unicorns and is still home to three, billion-pound businesses. So, the city of bees is buzzing.

How Do ITSM Systems with AI Based Collaboration Workspaces Enhance Productivity and Foster Customer Success?

With the increased demand for the digitalization and automation of business operations over the past few years, IT Service Management (ITSM) has undergone significant transformation. For IT service departments, the accelerated pace of digital transformation has brought new challenges, such as an increased dependency on IT solutions, legal and regulatory compliance, and growing IT complexity.

Honeycomb + Google Gemini

Today at Google Next, Charity Majors demonstrated how to use Honeycomb to find unexpected problems in our generative AI integration. Software components that integrate with AI products like Google’s Gemini are powerful in their ability to surprise us. Nondeterministic behavior means there is no such thing as “fully tested.” Never has there been more of a need for testing in production!

Stay up to date on the latest incidents with Bits AI

Since the release of ChatGPT, there’s been growing excitement about the potential of generative AI—a class of artificial intelligence trained on pre-existing datasets to generate text, images, videos, and other media—to transform global businesses. Last year, we released our own generative AI-powered DevOps copilot called Bits AI in private beta. Bits AI provides a conversational UI to explore observability data using natural language.

10 Tips for Using AI in Your Stock Trading Strategy

As the financial markets continue to evolve, the incorporation of artificial intelligence (AI) into stock trading strategies has become increasingly prevalent. AI-powered trading systems provide a significant edge by harnessing real-time data, predictive analytics, and advanced pattern recognition capabilities. Software for trading stocks with AI integration plays a pivotal role in this transformation, empowering traders with sophisticated analytical tools and automated trading functionalities.

The Power of Synthetic Data to Drive Accurate AI and Data Models

We live in a data-rich world - every click, swipe, like, share, and purchase online generates data points companies use to optimize offerings. However, even vast real-world data has limitations in developing robust artificial intelligence (AI) and data models, particularly with regard to AIOps (Artificial Intelligence for IT Operations). Enter synthetic data.