The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. Register now!
This article was written by Bob Friday, Vice President and Chief Technology Officer of Junipers AI-Driven Enterprise Business.
In a recent survey of 700 IT pros around the world, 95% said they believe their companies would benefit from embedding artificial intelligence (AI) into daily operations, products, and services, and 88% want to use AI as much as possible. When was the last time you heard that many people agree on anything?
Yes, AI is all the rage because it is the next step in the evolution of automation in doing tasks on par with human domain experts whether it is driving a car or helping doctors diagnose disease. But make no mistake while we are starting to see the fruits of AI here and there: By and large, the industry and most organizations are still in the early days of AI adoption. And as with any new momentous technology, organizations need to develop an adoption strategy specific to their organization to get the full benefits of AI automation and deep learning technology.
The complication as Gartner put it: How to make AI a core IT competency still eludes most organizations.
But failing to learn how to leverage the benefits AI/ML will leave an organization at a competitive disadvantage in terms of customer experience and operational efficiency. So, whats the way to get there? Here are three common traps that companies should steer clear of as they get themselves AI-ready.
Great wine requires good grapes and great AI starts with good data, but great AI also needs a clear business ROI. The business benefit ROI and the data needed to automate the domain expert task must be clearly defined at the outset of the project if the AI solution is to deliver real value and continue receiving the resources to grow from pilot to production.
AI ingredients, like algorithms and machine learning, sound very science-y, but business AI projects should never resemble science experiments. The Shiny New Toy Syndrome is a real pitfall for AI. To avoid succumbing to it, organizations should tie every AI project to specific business outcomes and know the business outcome question and what task you are trying to do on par with a domain expert.
For example, is the objective of using intelligent automation to relieve IT team members of mundane, routine tasks so they can focus on higher-value activities? Beyond the IT department, is it to help the marketing department gain competitive advantage by delivering more personalized experiences to customers? Is it automating more of the sales process to boost lead volume and close rate?
C-suite leaders would have to be living under a rock at this point not to recognize AIs potential and the fact that investment is required for AI-ready technology stacks, but theyre going to want to understand how its good for the business. Everyone in a company needs to recognize this reality, and ward off any squishiness in an AI projects reason for being.
The AI talent shortage is often cited as one of the tech industrys toughest challenges. It has even been called a national security threat amid Chinas ambitions to become the world leader in AI.
According to OReillys 2021 AI Adoption in the Enterprise report, which surveyed more than 3,500 business leaders, a lack of skilled people and difficulty hiring tops the list of AI challenges.
To make sure their companies have the talent to fully leverage the benefits of AI/ML they should start both a hiring and training program.
On the hiring side, companies should look for talent beyond the typical data science degree and look at adjacent degrees such as physics, math and self-taught computer science. But hiring talent is not enough for a companies strategy to build their AI workforces, especially when theyre competing with behemoths like Amazon and Facebook. Another good solution to consider: If you cant hire them, train them.
While its unreasonable to expect someone to become a data scientist after taking a couple of online Coursera classes. Engineers with Physics, Math and Computer Science backgrounds have the foundation to master data science and deep learning.
Sources of talent may exist inside the organization in unexpected places. Take, for example, the large business intelligence (BI) ecosystems that many companies have. These have talent that is familiar with using Bayesian statistical analysis that is common to most machine learning algorithms.
In making sure they have the right skills to support AI initiatives, it makes sense for companies to re-train existing employees as much as possible in addition to having an AI/ML hiring strategy. Companies need to get creative in pinpointing those employees and AI/ML talent.
Ive seen companies get bogged down by trying to build their own AI tools and solutions from scratch rather than buying them or leveraging open source. The algorithms being used to develop AI solutions are fast evolving and companies should look to partner with vendors in their industry who are leading the AI wave. Unless it happens to be one of the companys core competencies, building AI solutions is usually an overreach. Why reinvent the wheel when you can buy one of the many commercial AI tools on the market?
Deloittes most recent State of the AI in the Enterprise report, which surveyed 2,737 IT and line-of-business executives worldwide, found that seasoned and skilled AI adopters are more likely than starters to buy the AI systems they need.
This suggests that many organizations may go through a period of internal learning and experimentation before they know whats necessary and then seek it from the market, the report said.
Companies that avoid these three traps will have a much easier time accelerating their AI adoption and enjoying the benefits of revenue growth, lower operating costs, and improved customer experience.
Bob Friday is Vice President and Chief Technology Officer of Junipers AI-Driven Enterprise Business.
Go here to read the rest:
3 traps companies should avoid in their AI journeys - VentureBeat
- Chinese national arrested and charged with stealing AI trade secrets from Google - NPR - March 8th, 2024 [March 8th, 2024]
- President Biden Calls for Ban on AI Voice Impersonations During State of the Union - Variety - March 8th, 2024 [March 8th, 2024]
- Revolutionize Your Business with AWS Generative AI Competency Partners | Amazon Web Services - AWS Blog - March 8th, 2024 [March 8th, 2024]
- Broadcom Expects AI Demand to Help Offset Weakness Elsewhere - Yahoo Finance - March 8th, 2024 [March 8th, 2024]
- Micron Hits Record High With Analysts Calling It an 'Under-Appreciated AI Beneficiary' - Investopedia - March 8th, 2024 [March 8th, 2024]
- The Adams administration quietly hired its first AI czar. Who is he? - City & State New York - March 8th, 2024 [March 8th, 2024]
- AI likely to increase energy use and accelerate climate misinformation report - The Guardian - March 8th, 2024 [March 8th, 2024]
- This Artificial Intelligence (AI) Stock Could Double, and It Is Way Cheaper Than Nvidia - Yahoo Finance - March 8th, 2024 [March 8th, 2024]
- Fake images made to show Trump with Black supporters highlight concerns around AI and elections - The Associated Press - March 8th, 2024 [March 8th, 2024]
- Artificial intelligence and illusions of understanding in scientific research - Nature.com - March 8th, 2024 [March 8th, 2024]
- Analysis | House AI task force leaders take long view on regulating the tools - The Washington Post - March 8th, 2024 [March 8th, 2024]
- Don't Give Your Business Data to AI Companies - Dark Reading - March 8th, 2024 [March 8th, 2024]
- NIST, the lab at the center of Bidens AI safety push, is decaying - The Washington Post - March 8th, 2024 [March 8th, 2024]
- Essay | AI is Coming! Tips for Staying Calm and Carrying On - The Wall Street Journal - March 8th, 2024 [March 8th, 2024]
- AI can be easily used to make fake election photos - report - BBC.com - March 8th, 2024 [March 8th, 2024]
- 5 Artificial Intelligence (AI) Stocks That Could Make You a Millionaire - Yahoo Finance - March 8th, 2024 [March 8th, 2024]
- AI could be an extraordinary force for good. So why do our politicians still not have a plan? - The Guardian - March 8th, 2024 [March 8th, 2024]
- Mapping Disease Trajectories from Birth to Death with AI - Neuroscience News - March 8th, 2024 [March 8th, 2024]
- India plans 10,000-GPU sovereign AI supercomputer - The Register - March 8th, 2024 [March 8th, 2024]
- SAP enhances Datasphere and SAC for AI-driven transformation - CIO - March 8th, 2024 [March 8th, 2024]
- Jim Cramer names companies and sectors poised to rally on the AI wave - CNBC - March 8th, 2024 [March 8th, 2024]
- The job applicants shut out by AI: The interviewer sounded like Siri - The Guardian - March 8th, 2024 [March 8th, 2024]
- Microsoft confirms Surface and Windows AI event for March 21st - The Verge - March 8th, 2024 [March 8th, 2024]
- Adobes new Express app brings Firefly AI tools to iOS and Android - The Verge - March 8th, 2024 [March 8th, 2024]
- A Google AI Watched 30,000 Hours of Video GamesNow It Makes Its Own - Singularity Hub - March 8th, 2024 [March 8th, 2024]
- Palantir CEO Karp on TITAN, AI Warfare Technology - Bloomberg - March 8th, 2024 [March 8th, 2024]
- Elliptic Curve Murmurations Found With AI Take Flight - Quanta Magazine - March 8th, 2024 [March 8th, 2024]
- 5 AI Stocks to Buy in March 2024, According to Analysts - TipRanks.com - TipRanks - March 8th, 2024 [March 8th, 2024]
- Wix's new AI chatbot builds websites in seconds based on prompts - The Verge - March 8th, 2024 [March 8th, 2024]
- Amid record high energy demand, America is running out of electricity - The Washington Post - March 8th, 2024 [March 8th, 2024]
- AI Crypto Tokens in 5 Minutes: What to Know and Where to Start - Inc. - February 26th, 2024 [February 26th, 2024]
- 'The Worlds I See' by AI visionary Fei-Fei Li '99 selected as Princeton Pre-read - Princeton University - February 26th, 2024 [February 26th, 2024]
- AI is having a 1995 moment, analyst says - Business Insider - February 26th, 2024 [February 26th, 2024]
- Vatican research group's book outlines AI's 'brave new world' - National Catholic Reporter - February 26th, 2024 [February 26th, 2024]
- Honor's Magic 6 Pro launches internationally with AI-powered eye tracking on the way - The Verge - February 26th, 2024 [February 26th, 2024]
- Google explains Gemini's embarrassing AI pictures of diverse Nazis - The Verge - February 26th, 2024 [February 26th, 2024]
- Google cut a deal with Reddit for AI training data - The Verge - February 26th, 2024 [February 26th, 2024]
- What's the point of Elon Musk's AI company? - The Verge - February 26th, 2024 [February 26th, 2024]
- AI agents like Rabbit aim to book your vacation and order your Uber - NPR - February 26th, 2024 [February 26th, 2024]
- Announcing Microsofts open automation framework to red team generative AI Systems - Microsoft - February 26th, 2024 [February 26th, 2024]
- After Nvidia's latest blowout, here are 20 AI stocks expected to rise as much as 44% - Yahoo Finance - February 26th, 2024 [February 26th, 2024]
- 1 Exceptional AI Chip Stock Investors Need to Know About in 2024 - The Motley Fool - February 26th, 2024 [February 26th, 2024]
- Nvidia briefly hits $2 trillion valuation as AI frenzy grips Wall Street - Reuters - February 26th, 2024 [February 26th, 2024]
- AI Chatbots Can Guess Your Personal Information From What You ... - WIRED - October 18th, 2023 [October 18th, 2023]
- Harvard IT Launches Pilot of AI Sandbox to Enable Walled-Off Use ... - Harvard Crimson - October 18th, 2023 [October 18th, 2023]
- Advancing policing through AI: Insights from the global law ... - Police News - October 18th, 2023 [October 18th, 2023]
- Hochul announces new SUNY, IBM investments in AI - Olean Times Herald - October 18th, 2023 [October 18th, 2023]
- Nvidia's banking on TensorRT to expand its generative AI dominance - The Verge - October 18th, 2023 [October 18th, 2023]
- AI expands from MRFs to vehicles - Plastics Recycling Update - October 18th, 2023 [October 18th, 2023]
- AI Reads Ancient Scroll Charred by Mount Vesuvius in Tech First - Scientific American - October 18th, 2023 [October 18th, 2023]
- A DEEPer (squared) dive into AI Harvard Gazette - Harvard Gazette - October 18th, 2023 [October 18th, 2023]
- Florida bar weighs whether lawyers using AI need client consent - Reuters - October 18th, 2023 [October 18th, 2023]
- Cognizant and Vianai Systems Announce Strategic Partnership to ... - PR Newswire - October 18th, 2023 [October 18th, 2023]
- How AI could speed up scientific discoveries, from proteins to ... - NPR - October 18th, 2023 [October 18th, 2023]
- AI challenge to deliver better healthcare | Western Australian ... - Government of Western Australia - October 18th, 2023 [October 18th, 2023]
- Henry Kissinger: The Path to AI Arms Control - Foreign Affairs Magazine - October 18th, 2023 [October 18th, 2023]
- Stability AI releases StableStudio in latest push for open-source AI - The Verge - May 18th, 2023 [May 18th, 2023]
- Google CEO Sundar Pichai Predicts That This Profession Will Be ... - The Motley Fool - May 18th, 2023 [May 18th, 2023]
- Frances privacy watchdog eyes protection against data scraping in AI action plan - TechCrunch - May 18th, 2023 [May 18th, 2023]
- Investing in Hippocratic AI - Andreessen Horowitz - May 18th, 2023 [May 18th, 2023]
- As Alphabet flexes its AI prowess, there's a 'new elephant in the room' for Google - MarketWatch - May 18th, 2023 [May 18th, 2023]
- The Boring Future of Generative AI | WIRED - WIRED - May 18th, 2023 [May 18th, 2023]
- OpenAI readies new open-source AI model, The Information reports - Reuters.com - May 18th, 2023 [May 18th, 2023]
- What every CEO should know about generative AI - McKinsey - May 18th, 2023 [May 18th, 2023]
- AI creates images of the 'perfect' man and woman - Sky News - May 18th, 2023 [May 18th, 2023]
- Audit AI search tools now, before they skew research - Nature.com - May 18th, 2023 [May 18th, 2023]
- 3 Reasons C3.ai Stock Could Be Your Golden Ticket to the AI ... - InvestorPlace - May 18th, 2023 [May 18th, 2023]
- Zoom makes a big bet on AI with investment in Anthropic - VentureBeat - May 18th, 2023 [May 18th, 2023]
- AI voice phone scams are on the rise. Here's how to avoid them - USA TODAY - May 18th, 2023 [May 18th, 2023]
- Amazon is building an AI-powered conversational experience for ... - The Verge - May 18th, 2023 [May 18th, 2023]
- AI speculators need to 'differentiate between actual spending and investment' and hype: Strategist - Yahoo Finance - May 18th, 2023 [May 18th, 2023]
- AI Can Be Both Accurate and Transparent - HBR.org Daily - May 18th, 2023 [May 18th, 2023]
- You're Probably Underestimating AI Chatbots | WIRED - WIRED - May 18th, 2023 [May 18th, 2023]
- AI presents political peril for 2024 with threat to mislead voters - The Associated Press - May 18th, 2023 [May 18th, 2023]
- We need AI to help us face the challenges of the future - The Guardian - May 18th, 2023 [May 18th, 2023]
- End Of Googles Dominance? Stock Gets Rare Analyst Downgrade Over AI Fears - Forbes - May 18th, 2023 [May 18th, 2023]
- Watch 44 million atoms simulated using AI and a supercomputer - New Scientist - May 18th, 2023 [May 18th, 2023]
- AI Is The New Electricity: Bank Of America Picks 20 Stocks To Cash In On ChatGPT Hype - Forbes - March 2nd, 2023 [March 2nd, 2023]
- Tech Giants Are Barreling Headfirst Into an AI Arms Race - February 20th, 2023 [February 20th, 2023]
- Bing's AI Is Threatening Users. That's No Laughing Matter - TIME - February 20th, 2023 [February 20th, 2023]