A recent survey of CEOs and senior executives by Gartner, Inc. revealed that artificial intelligence (AI) was the top technology that CEOs believe will significantly impact their industry over the next three years, cited by 21% of survey respondents.
'Generative AI will profoundly impact business and operating models,' said Mark Raskino, Distinguished VP Analyst at Gartner. 'However, fear of missing out is a powerful driver of technology markets. AI is reaching the tipping point where CEOs who are not yet invested become concerned that they are missing something competitively important.'
The 2023 Gartner CEO and Senior Business Executive Survey was conducted from July through December 2022 among over 400 CEOs and other senior business executives in North America, Europe, Asia/Pacific, Latin America, the Middle East and South Africa, across different industries, revenue and company sizes.
AI applications must be supported by massive compute power, which means larger and more plentiful data centers.
The uptick in AI usage is causing rapid growth in the data center market to accommodate the explosion of data these technologies are creating. Adding AI to the already massive pool of available technology, including internet of things (IoT) devices, will generate even more customer data, leading to an exponential increase in data volumes.
The bottom line is that all this data needs to reside somewhere, and organizations will turn to data centers.
Kevin Shtofman, head of innovation at Cherre, explains AI will create increased demand for computing power, requiring investment in AI-specific hardware, adoption of new data center designs, and exploration of emerging technologies such as edge computing.
Controversy over AI, from ChatGPT to Bard, have been all over the news, and the impact of Large Language Models is hitting enterprise IT. We're seeing litigation against GitHub, Microsoft, and OpenAI just as the US Congress heard testimony by OpenAI CEO Sam Altman. And of course IT pros everywhere are grappling with the various ways their jobs will be affected by AI. Let's take a closer look at AI in the enterprise. This and more on this week's Rundown.
0:58 - Hammerspace Acquires RozoFS
3:15 - Google I/O 2023 happened
6:49 - VAST Data's Platform Certified as Datastore for NVIDIA DGX SuperPOD
10:04 - Microsoft and AMD are Teaming Up
12:42 - Solidigm's D5-P5430 High-Density Data Center SSD
15:47 - AI Controversies Hit Enterprise IT
27:27 - The Weeks Ahead
Legal and Compliance Leaders Should Assess Their Organizations' Exposure to These Risks and Build Appropriate Measures to Steer Responsible Use of ChatGPT
Legal and compliance leaders should address their organization's exposure to six specific ChatGPT risks, and what guardrails to establish to ensure responsible enterprise use of generative AI tools, according to Gartner, Inc.
'The output generated by ChatGPT and other large language model (LLM) tools are prone to several risks,' said Ron Friedmann, senior director analyst in in the Gartner Legal & Compliance Practice. 'Legal and compliance leaders should assess if these issues present a material risk to their enterprise and what controls are needed, both within the enterprise and its extended enterprise of third and nth parties. Failure to do so could expose enterprises to legal, reputational and financial consequences.'
The six ChatGPT risks that legal and compliance leaders should evaluate include:...
Ignoring AI is one thing. But if you ignore the importance of a shared vision and learning culture, all the AI in the world won't put your organization in the winner's circle.
Consumers love smart personalization. Developers get fired up about building AI-powered apps. And just two months after ChatGPT launched, 100 million people have added tapping into the power of AI to their toolbox.
These signals point toward an 'AI everywhere' future: one in which it's a competency of every firm, and a sidekick (or 'co-pilot,' in Microsoft's lexicon) to every worker.
According to Google, Meta and a number of other platforms, generative AI tools are the basis of the next era in creative testing and performance. Meta bills its Advantage+ campaigns as a way to 'use AI to eliminate the manual steps of ad creation.'
Provide a platform with all of your assets, from website to logos, product images to colors, and they can make new creatives, test them and dramatically improve results.
For a small business with few design resources, this is a fantastic advancement. Imagine being able to develop brand-appropriate creatives almost instantly that follow social media platforms' design guidelines and formats perfectly. It will make a huge difference for millions of small advertisers.
Google made its AI-powered chatbot available in 180 countries and almost immediately caused hyperactivity in our internal comparison engines. Here's what we found
Amidst the growing trend big tech companies launching their own generative AI solutions, the latest being IBM, Google did the unthinkable. Not only did they launch the AI chatbot Bard in 180 countries, they also added several new features such as new language, ease of exporting text to Google Docs and Gmail, visual search and a dark mode.
And if this did not send some shivers amongst competitors, Google has also promised features like AI image generation powered by Adobe as well as integration with third-party web services such as OpenTable and Instacard. And Google stuck to its DNA of waiting for someone to innovate and then seamlessly and sometimes shamelessly follow suit with their own solutions. Anyone remember the Gmail versus Hotmail story from the early 2000s?
Customer Service and Support Leaders Value Tech That Supports Customers' Shift to Self-Service and Improve Rep Retention
The technologies with the most current value to service and support organizations are those that support assisted service, according to Gartner, Inc.
'Today, the most impactful technologies in service are ones that support reps to deliver low-effort, value-enhanced experiences in the live channel,' said Lauren Villeneuve, Sr. Director, Advisory in the Gartner Customer Service & Support practice. 'These technologies are critical to continue to shift customers' transactional issues to self-service so reps can focus on more complex issues.'
A Gartner survey of over 200 customer service and support leaders conducted December 2022 through February 2023 revealed that the top technologies currently impacting customer service include: case management systems, internal collaboration tools and cloud-based contact center systems to be of most value in 2023
Artificial intelligence is captivating technical development teams and the general public alike thanks to the rise in generative AI technologies.
While the technology has been around for quite some time, the barrier to entry is the lowest it has ever been in the wake of the recent consumer-accessible advancements. Whether it is creating art, writing articles, or serving as a tutor to someone learning a new concept, we see AI as an augmenter, partner, or assistant available to anyone.
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