Google and Third-Party Cookies: The Writing Is on the Financial Projection Worksheet
July 25, 2024
This essay is the work of a dumb dinobaby. No smart software required.
I have been amused by some of the write ups about Google’s third-party cookie matter. Google is the king of the jungle when it comes to saying one thing and doing another. Let’s put some wood behind social media. Let’s make that Dodgeball thing take off. Let’s make that AI-enhanced search deliver more user joy. Now we are in third-party cookie revisionism. Even Famous Amos has gone back to its “original” recipe after the new and improved Famous Amos chips tanked big time. Google does not want to wait to watch ad and data sale-related revenue fall. The Google is changing its formulation before the numbers arrive.
“Google No Longer Plans to Eliminate Third-Party Cookies in Chrome” explains:
Google announced its cookie updates in a blog post shared today, where the company said that it instead plans to focus on user choice.
What percentage of Google users alter default choices? Don’t bother to guess. The number is very, very few. The one-click away baloney is a fabrication, an obfuscation. I have technical support which makes our systems as secure as possible given the resources an 80-year-old dinobaby has. But check out those in the rest home / warehouse for the soon to die? I would wager one US dollar that absolutely zero individuals will opt out of third-party cookies. Most of those in Happy Trail Ending Elder Care Facility cannot eat cookies. Opting out? Give me a break.
The MacRumors’ write up continues:
Back in 2020, Google claimed that it would phase out support for third-party cookies in Chrome by 2022, a timeline that was pushed back multiple times due to complaints from advertisers and regulatory issues. Google has been working on a Privacy Sandbox to find ways to improve privacy while still delivering info to advertisers, but third-party cookies will now be sticking around so as not to impact publishers and advertisers.
The Apple-centric online publication notes that UK regulators will check out Google’s posture. Believe me, Googzilla sits up straight when advertising revenue is projected to tank. Losing click data which can be relicensed, repurposed, and re-whatever is not something the competitive beastie enjoys.
MacRumors is not anti-Google. Hey, Google pays Apple big bucks to be “there” despite Safari. Here’s the online publications moment of hope:
Google does not plan to stop working on its Privacy Sandbox APIs, and the company says they will improve over time so that developers will have a privacy preserving alternative to cookies. Additional privacy controls, such as IP Protection, will be added to Chrome’s Incognito mode.
Correct. Google does not plan. Google outputs based on current situational awareness. That’s why Google 2020 has zero impact on Google 2024.
Three observations which will pain some folks:
- Google AI search and other services are under a microscope. I find the decision one which may increase scrutiny, not decrease regulators’ interest in the Google. Google made a decision which generates revenue but may increase legal expenses
- No matter how much money swizzles at each quarter’s end, Google’s business model may be more brittle than the revenue and profit figures suggest. Google is pumping billions into self driving cars, and doing an about face on third party cookies? The new Google puzzles me because search seems to be in the background.
- Google’s management is delivering revenues and profit, so the wizardly leaders are not going anywhere like some of Google’s AI initiatives.
Net net: After 25 years, the Google still baffles me. Time to head for Philz Coffee.
Stephen E Arnold, July 25, 2024
Crowd What? Strike Who?
July 24, 2024
This essay is the work of a dumb dinobaby. No smart software required.
How are those Delta cancellations going? Yeah, summer, families, harried business executives, and lots of hand waving. I read a semi-essay about the minor update misstep which caused blue to become a color associated with failure. I love the quirky sad face and the explanations from the assorted executives, experts, and poohbahs about how so many systems could fail in such a short time on a global scale.
In “Surely Microsoft Isn’t Blaming EU for Its Problems?” I noted six reasons the CrowdStrike issue became news instead of a system administrator annoyance. In a nutshell, the reasons identified harken back to Microsoft’s decision to use an “open design.” I like the phrase because it beckons a wide range of people to dig into the plumbing. Microsoft also allegedly wants to support its customers with older computers. I am not sure older anything is supported by anyone. As a dinobaby, I have first-hand experience with this “we care about legacy stuff.” Baloney. The essay mentions “kernel-level access.” How’s that working out? Based on CrowdStrike’s remarkable ability to generate PR from exceptions which appear to have allowed the super special security software to do its thing, that access sure does deliver. (Why does the nationality of CrowdStrike’s founder not get mentioned? Dmitri Alperovitch, a Russian who became a US citizen and a couple of other people set up the firm in 2012. Is there any possibility that the incident was a test play or part of a Russian long game?)
Satan congratulates one of his technical professionals for an update well done. Thanks, MSFT Copilot. How’re things today? Oh, that’s too bad.
The essay mentions that the world today is complex. Yeah, complexity goes with nifty technology, and everyone loves complexity when it becomes like an appliance until it doesn’t work. Then fixes are difficult because few know what went wrong. The article tosses in a reference to Microsoft’s “market size.” But centralization is what an appliance does, right? Who wants a tube radio when the radio can be software defined and embedded in another gizmo like those FM radios in some mobile devices. Who knew? And then there is a reference to “security.” We are presented with a tidy list.
The one hitch in the git along is that the issue emerges from a business culture which has zero to do with technology. The objective of a commercial enterprise is to generate profits. Companies generate profits by selling high, subtracting costs, and keeping the rest for themselves and stakeholders.
Hiring and training professionals to do jobs like quality checks, environmental impact statements, and ensuring ethical business behavior in work processes is overhead. One can hire a blue chip consulting firm and spark an opioid crisis or deprecate funding for pre-release checks and quality assurance work.
Engineering excellence takes time and money. What’s valued is maximizing the payoff. The other baloney is marketing and PR to keep regulators, competitors, and lawyers away.
The write up encapsulates the reason that change will be difficult and probably impossible for a company whether in the US or Ukraine to deliver what the customer expects. Regulators have failed to protect citizens from the behaviors of commercial enterprises. The customers assume that a big company cares about excellence.
I am not pessimistic. I have simply learned to survive in what is a quite error-prone environment. Pundits call the world fragile or brittle. Those words are okay. The more accurate term is reality. Get used to it and knock off the jargon about failure, corner cutting, and profit maximization. The reality is that Delta, blue screens, and yip yap about software chock full of issues define the world.
Fancy talk, lists, and entitled assurances won’t do the job. Reality is here. Accept it and blame.
Stephen E Arnold, July 24, 2024
Automating to Reduce Staff: Money Talks, Employees? Yeah, Well
July 24, 2024
This essay is the work of a dinobaby. Unlike some folks, no smart software improved my native ineptness.
Are you a developer who oversees a project? Are you one of those professionals who toiled to understand the true beauty of a PERT chart invented by a Type A blue-chip consulting firm I have heard? If so, you may sport these initials on your business card: PMP, PMI-RMP, PRINCE2, etc. I would suggest that Google is taking steps to eliminate your role. How do I know the death knell tolls for thee? Easy. I read “Google Brings AI Agent Platform Project Oscar Open Source.” The write up doesn’t come out and say, “Dev managers or project managers, find your future elsewhere, but the intent bubbles beneath the surface of the Google speak.
A 35-year-old executive gets the good news. As a project manager, he can now seek another information-mediating job at an indendent plumbing company, a local dry cleaner, or the outfit that repurposes basketball courts to pickleball courts. So many futures to find. Thanks, MSFT Copilot. That’s a pretty good Grim Reaper. The former PMP looks snappy too. Well, good enough.
The “Google Brings AI Agent Platform Project Oscar Open Source” real “news” story says:
Google has announced Project Oscar, a way for open-source development teams to use and build agents to manage software programs.
Say hi, to Project Oscar. The smart software is new, so expect it to morph, be killed, resurrected, and live a long fruitful life.
The write up continues:
“I truly believe that AI has the potential to transform the entire software development lifecycle in many positive ways,” Karthik Padmanabhan, lead Developer Relations at Google India, said in a blog post. “[We’re] sharing a sneak peek into AI agents we’re working on as part of our quest to make AI even more helpful and accessible to all developers.” Through Project Oscar, developers can create AI agents that function throughout the software development lifecycle. These agents can range from a developer agent to a planning agent, runtime agent, or support agent. The agents can interact through natural language, so users can give instructions to them without needing to redo any code.
Helpful? Seems like it. Will smart software reduce costs and allow for more “efficiency methods” to be implemented? Yep.
The article includes a statement from a Googler; to wit:
“We wondered if AI agents could help, not by writing code which we truly enjoy, but by reducing disruptions and toil,” Balahan said in a video released by Google. Go uses an AI agent developed through Project Oscar that takes issue reports and “enriches issue reports by reviewing this data or invoking development tools to surface the information that matters most.” The agent also interacts with whoever reports an issue to clarify anything, even if human maintainers are not online.
Where is Google headed with this “manage” software programs? A partial answer may be deduced from this write up from Linklemon. Its commercial “We Automate Workflows for Small to Medium (sic) Businesses.” The image below explains the business case clearly:
Those purple numbers are generated by chopping staff and making an existing system cheaper to operate. Translation: Find your future elsewhere, please.”
My hunch is that if the automation in Google India is “good enough,” the service will be tested in the US. Once that happens, Microsoft and other enterprise vendors will jump on the me-too express.
What’s that mean? Oh, heck, I don’t want to rerun that tired old “find your future elsewhere line,” but I will: Many professionals who intermediate information will here, “Great news, you now have the opportunity to find your future elsewhere.” Lucky folks, right, Google.
Stephen E Arnold, July 24, 2024
The Logic of Good Enough: GitHub
July 22, 2024
What happens when a big company takes over a good thing? Here is one possible answer. Microsoft acquired GitHub in 2018. Now, “‘GitHub’ Is Starting to Feel Like Legacy Software,” according Misty De Méo at The Future Is Now blog. And by “legacy,” she means outdated and malfunctioning. Paint us unsurprised.
De Méo describes being unable to use a GitHub feature she had relied on for years: the blame tool. She shares her process of tracking down what went wrong. Development geeks can see the write-up for details. The point is, in De Méo’s expert opinion, those now in charge made a glaring mistake. She observes:
“The corporate branding, the new ‘AI-powered developer platform’ slogan, makes it clear that what I think of as ‘GitHub’—the traditional website, what are to me the core features—simply isn’t Microsoft’s priority at this point in time. I know many talented people at GitHub who care, but the company’s priorities just don’t seem to value what I value about the service. This isn’t an anti-AI statement so much as a recognition that the tool I still need to use every day is past its prime. Copilot isn’t navigating the website for me, replacing my need to the website as it exists today. I’ve had tools hit this phase of decline and turn it around, but I’m not optimistic. It’s still plenty usable now, and probably will be for some years to come, but I’ll want to know what other options I have now rather than when things get worse than this.”
The post concludes with a plea for fellow developers to send De Méo any suggestions for GitHub alternatives and, in particular, a good local blame tool. Let us just hope any viable alternatives do not also get snapped up by big tech firms anytime soon.
Cynthia Murrell, July 23, 2024
What? Cloud Computing Costs Cut from Business Budgets
July 18, 2024
Many companies offload their data storage and computing needs to third parties aka cloud computing providers. Leveraging cloud computing was viewed as a great way to lower technology budgets, but with rising inflation and costs that perspective is changing. The BBC wrote an article about the changes in the cloud: “Are Rainy Days Ahead For Cloud Computing?”
Companies are reevaluating their investments in cloud computing, because the price tags are too high. The cloud was advertised as cheaper, easier, and faster. Businesses aren’t seeing any productive gains. Larger companies are considering dumping the cloud and rerouting their funds to self-hosting again. Clouding computing still has its benefits, especially for smaller companies who can’t invest in their technology infrastructure. Security is another concern:
“‘A key factor in our decision was that we have highly proprietary R&D data and code that must remain strictly secure,’ says Markus Schaal, managing director at the German firm. “If our investments in features, patches, and games were leaked, it would be an advantage to our competitors. While the public cloud offers security features, we ultimately determined we needed outright control over our sensitive intellectual property. "As our AI-assisted modelling tools advanced, we also required significantly more processing power that the cloud could not meet within budget.”
He adds:
“We encountered occasional performance issues during heavy usage periods and limited customization options through the cloud interface. Transitioning to a privately-owned infrastructure gave us full control over hardware purchasing, software installation, and networking optimized for our workloads.”
Cloud computing has seen its golden era, but it’s not disappearing. It’s still a useful computing tool, but won’t be the main infrastructure for companies that want to lower costs, stay within budget, secure their software, and other factors.
Whitney Grace, July 18, 2024
AI and Human Workers: AI Wins for Now
July 17, 2024
When it come to US employment news, an Australian paper does not beat around the bush. Citing a recent survey from the Federal Reserve Bank of Richmond, The Sydney Morning Herald reports, “Nearly Half of US Firms Using AI Say Goal Is to Cut Staffing Costs.” Gee, what a surprise. Writer Brian Delk summarizes:
“In a survey conducted earlier this month of firms using AI since early 2022 in the Richmond, Virginia region, 45 per cent said they were automating tasks to reduce staffing and labor costs. The survey also found that almost all the firms are using automation technology to increase output. ‘CFOs say their firms are tapping AI to automate a host of tasks, from paying suppliers, invoicing, procurement, financial reporting, and optimizing facilities utilization,’ said Duke finance professor John Graham, academic director of the survey of 450 financial executives. ‘This is on top of companies using ChatGPT to generate creative ideas and to draft job descriptions, contracts, marketing plans, and press releases.’ The report stated that over the past year almost 60 per cent of companies surveyed have ‘have implemented software, equipment, or technology to automate tasks previously completed by employees.’ ‘These companies indicate that they use automation to increase product quality (58 per cent of firms), increase output (49 per cent), reduce labor costs (47 per cent), and substitute for workers (33 per cent).’”
Delk points to the Federal Reserve Bank of Dallas for a bit of comfort. Its data shows the impact of AI on employment has been minimal at the nearly 40% of Texas firms using AI. For now. Also, the Richmond survey found manufacturing firms to be more likely (53%) to adopt AI than those in the service sector (43%). One wonders whether that will even out once the uncanny valley has been traversed. Either way, it seems businesses are getting more comfortable replacing human workers with cheaper, more subservient AI tools.
Cynthia Murrell, July 17, 2024
What Will the AT&T Executives Serve Their Lawyers at the Security Breach Debrief?
July 15, 2024
![dinosaur30a_thumb_thumb_thumb_thumb_[1]_thumb_thumb](https://arnoldit.com/wordpress/wp-content/uploads/2024/07/dinosaur30a_thumb_thumb_thumb_thumb_1_thumb_thumb-1.gif "dinosaur30a_thumb_thumb_thumb_thumb_[1]_thumb_thumb")
This essay is the work of a dinobaby. Unlike some folks, no smart software improved my native ineptness.
On the flight back to my digital redoubt in rural Kentucky, I had the thrill of sitting behind a couple of telecom types who were laughing at the pickle AT&T has plopped on top of what I think of a Judge Green slushee. Do lime slushees and dill pickles go together? For my tastes, nope. Judge Green wanted to de-monopolize the Ma Bell I knew and loved. (Yes, I cashed some Ma Bell checks and I had a Young Pioneers hat.)
We are back to what amounts a Ma Bell trifecta: AT&T (the new version which wears spurs and chaps), Verizon (everyone’s favorite throw back carrier), and the new T-Mobile (bite those customer pocketbooks as if they were bratwursts mit sauerkraut). Each of these outfits is interesting. But at the moment, AT&T is in the spotlight.
“Data of Nearly All AT&T Customers Downloaded to a Third-Party Platform in a 2022 Security Breach” dances around a modest cyber misstep at what is now a quite old and frail Ma Bell. Imagine the good old days before the Judge Green decision to create Baby Bells. Security breaches were possible, but it was quite tough to get the customer data. Attacks were limited to those with the knowledge (somewhat tough to obtain), the tools (3B series computers and lots of mainframes), and access to network connections. Technology has advanced. Consequently competition means that no one makes money via security. Security is better at old-school monopolies because money can be spent without worrying about revenue. As one AT&T executive said to my boss at a blue-chip consulting company, “You guys charge so much we will have to get another railroad car filled with quarters to pay your bill.” Ho ho ho — except the fellow was not joking. At the pre-Judge Green AT&T, spending money on security was definitely not an issue. Today? Seems to be different.
A more pointed discussion of Ma Bell’s breaking her hip again appears in “AT&T Breach Leaked Call and Text Records from Nearly All Wireless Customers” states:
AT&T revealed Friday morning (July 12, 2024) that a cybersecurity attack had exposed call records and texts from “nearly all” of the carrier’s cellular customers (including people on mobile virtual network operators, or MVNOs, that use AT&T’s network, like Cricket, Boost Mobile, and Consumer Cellular). The breach contains data from between May 1st, 2022, and October 31st, 2022, in addition to records from a “very small number” of customers on January 2nd, 2023.
The “problem” if I understand the reference to Snowflake. Is AT&T suggesting that Snowflake is responsible for the breach? Big outfits like to identify the source of the problem. If Snowflake made the misstep, isn’t it the responsibility of AT&T’s cyber unit to make sure that the security was as good as or better than the security implemented before the Judge Green break up? I think AT&T, like other big companies, wants to find a way to shift blame, not say, “We put the pickle in the lime slushee.”
My posture toward two year old security issues is, “What’s the point of covering up a loss of ‘nearly all’ customers’ data?” I know the answer: Optics and the share price.
As a person who owned a Young Pioneers’ hat, I am truly disappointed in the company. The Regional Managers for whom I worked as a contractor had security on the list of top priorities from day one. Whether we were fooling around with a Western Electric data service or the research charge back system prior to the break up, security was not someone else’s problem.
Today it appears that AT&T has made some decisions which are now perched on the top officer’s head. Security problems are, therefore, tough to miss. Boeing loses doors and wheels from aircraft. Microsoft tantalizes bad actors with insecure systems. AT&T outsources high value data and then moves more slowly than the last remaining turtle in the mine run off pond near my home in Harrod’s Creek.
Maybe big is not as wonderful as some expect the idea to be? Responsibility for one’s decisions and an ethical compass are not cyber tools, but both notions are missing in some big company operations. Will the after-action team guzzle lime slushees with pickles on top?
Stephen E Arnold, July 15, 2024
AI and Electricity: Cost and Saving Whales
July 15, 2024
This essay is the work of a dinobaby. Unlike some folks, no smart software improved my native ineptness. Grumbling about the payoff from those billions of dollars injected into smart software continues. The most recent angle is electricity. AI is a power sucker, a big-time energy glutton. I learned this when I read the slightly alarmist write up “Artificial Intelligence Needs So Much Power It’s Destroying the Electrical Grid.” Texas, not a hot bed of AI excitement, seems to be doing quite well with the power grid problem without much help from AI. Mother Nature has made vivid the weaknesses of the infrastructure in that great state.
Some dolphins may love the power plant cooling effluent (run off). Other animals, not so much. Thanks, MSFT Copilot. Working on security this week?
But let’s get back to saving whales and the piggishness of those with many GPUs processing data to help out the eighth-graders with their 200 word essays.
The write up says:
As a recent report from the Electric Power Research Institute lays out, just 15 states contain 80% of the data centers in the U.S.. Some states – such as Virginia, home to Data Center Alley – astonishingly have over 25% of their electricity consumed by data centers. There are similar trends of clustered data center growth in other parts of the world. For example, Ireland has become a data center nation.
So what?
The article says that it takes just two years to spin up a smart software data center but it takes four years to enhance an electrical grid. Based on my experience at a unit of Halliburton specializing in nuclear power, the four year number seems a bit optimistic. One doesn’t flip a switch and turn on Three Mile Island. One does not pick a nice spot near a river and start building a nuclear power reactor. Despite the recent Supreme Court ruling calling into question what certain frisky Executive Branch agencies can require, home owners’ associations and medical groups can make life interesting. Plus building out energy infrastructure is expensive and takes time. How long does it take for several feet of specialized concrete to set? Longer than pouring some hardware store quick fix into a hole in your driveway?
The article says:
There are several ways the industry is addressing this energy crisis. First, computing hardware has gotten substantially more energy efficient over the years in terms of the operations executed per watt consumed. Data centers’ power use efficiency, a metric that shows the ratio of power consumed for computing versus for cooling and other infrastructure, has been reduced to 1.5 on average, and even to an impressive 1.2 in advanced facilities. New data centers have more efficient cooling by using water cooling and external cool air when it’s available. Unfortunately, efficiency alone is not going to solve the sustainability problem. In fact, Jevons paradox points to how efficiency may result in an increase of energy consumption in the longer run. In addition, hardware efficiency gains have slowed down substantially as the industry has hit the limits of chip technology scaling.
Okay, let’s put aside the grid and the dolphins for a moment.
AI has and will continue to have downstream consequences. Although the methods of smart software are “old” when measured in terms of Internet innovations, the knock on effects are not known.
Several observations are warranted:
- Power consumption can be scheduled. The method worked to combat air pollution in Poland, and it will work for data centers. (Sure, the folks wanting computation will complain, but suck it up, buttercups. Plan and engineer for efficiency.)
- The electrical grid, like the other infrastructures in the US, need investment. This is a job for private industry and the governmental authorities. Do some planning and deliver results, please.
- Those wanting to scare people will continue to exercise their First Amendment rights. Go for it. However, I would suggest putting observations in a more informed context may be helpful. But when six o’clock news weather people scare the heck out of fifth graders when a storm or snow approaches, is this an appropriate approach to factual information? Answer: Sure when it gets clicks, eyeballs, and ad money.
Net net: No big changes for now are coming. I hope that the “deciders” get their Fiat 500 in gear.
Stephen E Arnold, July 15, 2024
Big Plays or Little Plays: The Key to AI Revenue
July 11, 2024
I keep thinking about the billions and trillions of dollars required to create a big AI win. A couple of snappy investment banks have edged toward the idea that AI might not pay off with tsunamis of money right away. The fix is to become brokers for GPU cycles or “humble brags” about how more money is needed to fund the next big thing in what venture people want to be the next big thing. Yep, AI: A couple of winners and the rest are losers at least in terms of the pay off scale whacked around like a hapless squash ball at the New York Athletic Club.
However, a radical idea struck me as I read a report from the news service that oozes “trust.” The Reuters’ story is “China Leads the World in Adoption of Generative AI Survey Shows.” Do I trust surveys? Not really. Do I trust trusted “real” news outfits? Nope, not really. But the write up includes an interesting statement, and the report sparked what is for me a new idea.
First, here’s the passage I circled:
“Enterprise adoption of generative AI in China is expected to accelerate as a price war is likely to further reduce the cost of large language model services for businesses. The SAS report also said China led the world in continuous automated monitoring (CAM), which it described as “a controversial but widely-deployed use case for generative AI tools”.”
I interpreted this to mean:
- Small and big uses of AI in somewhat mundane tasks
- Lots of small uses with more big outfits getting with the AI program
- AI allows nifty monitoring which is going to catch the attention of some Chinese government officials who may be able to repurpose these focused applications of smart software
With models available as open source like the nifty Meta Facebook Zuck concoction, big technology is available. Furthermore the idea of applying smart software to small problems makes sense. The approach avoids the Godzilla lumbering associated with some outfits and, second, fast iteration with fast failures provides useful factoids for other developers.
The “real” news report does not provide numbers or much in the way of analysis. I think the idea of small-scale applications does not make sense when one is eating fancy food at a smart software briefing in mid town Manhattan. Small is not going to generate that. big wave of money from AI. The money is needed to raise more money.
My thought is that the Chinese approach has value because it is surfing on open source and some proprietary information known to Chinese companies solving or trying to solve a narrow problem. Also, the crazy pace of try-fail, try-fail enables acceleration of what works. Failures translate to lessons about what lousy path to follow.
Therefore, my reaction to the “real” news about the survey is that China may be in a position to do better, faster, and cheaper AI applications that the Godzilla outfits. The chase for big money exists, but in the US without big money, who cares? In China, big money may not be as large as the pile of cash some VCs and entrepreneurs argue is absolutely necessary.
So what? The “let many flowers bloom” idea applies to AI. That’s a strength possibly neither appreciated or desired by the US AI crowd. Combined with China’s patent surge, my new thought translates to “oh, oh.”
Stephen E Arnold, July 11, 2024
Common Sense from an AI-Centric Outfit: How Refreshing
July 11, 2024
This essay is the work of a dumb dinobaby. No smart software required.
In the wild and wonderful world of smart software, common sense is often tucked beneath a stack of PowerPoint decks and vaporized in jargon-spouting experts in artificial intelligence. I want to highlight “Interview: Nvidia on AI Workloads and Their Impacts on Data Storage.” An Nvidia poohbah named Charlie Boyle output some information that is often ignored by quite a few of those riding the AI pony to the pot of gold at the end of the AI rainbow.
The King Arthur of senior executives is confident that in his domain he is the master of his information. By the way, this person has an MBA, a law degree, and a CPA certification. His name is Sir Walter Mitty of Dorksford, near Swindon. Thanks, MSFT Copilot. Good enough.
Here’s the pivotal statement in the interview:
… a big part of AI for enterprise is understanding the data you have.
Yes, the dwellers in carpetland typically operate with some King Arthur type myths galloping around the castle walls; specifically:
Myth 1: We have excellent data
Myth 2: We have a great deal of data and more arriving every minute our systems are online
Myth 3: Out data are available and in just a few formats. Processing the information is going to be pretty easy.
Myth 4: Out IT team can handle most of the data work. We may not need any outside assistance for our AI project.
Will companies map these myths to their reality? Nope.
The Nvidia expert points out:
…there’s a ton of ready-made AI applications that you just need to add your data to.
“Ready made”: Just like a Betty Crocker cake mix my grandmother thought tasted fake, not as good as home made. Granny’s comment could be applied to some of the AI tests my team have tracked; for example, the Big Apple’s chatbot outputting comments which violated city laws or the exciting McDonald’s smart ordering system. Sure, I like bacon on my on-again, off-again soft serve frozen dessert. Doesn’t everyone?
The Nvidia experts offers this comment about storage:
If it’s a large model you’re training from scratch you need very fast storage because a lot of the way AI training works is they all hit the same file at the same time because everything’s done in parallel. That requires very fast storage, very fast retrieval.
Is that a problem? Nope. Just crank up the cloud options. No big deal, except it is. There are costs and time to consider. But otherwise this is no big deal.
The article contains one gems and wanders into marketing “don’t worry” territory.
From my point of view, the data issue is the big deal. Bad, stale, incomplete, and information in odd ball formats — these exist in organizations now. The mass of data may have 40 percent or more which has never been accessed. Other data are back ups which contain versions of files with errors, copyright protected data, and Boy Scout trip plans. (Yep, non work information on “work” systems.)
Net net: The data issue is an important one to consider before getting into the let’s deploy a customer support smart chatbot. Will carpetland dwellers focus on the first step? Not too often. That’s why some AI projects get lost or just succumb to rising, uncontrollable costs. Moving data? No problem. Bad data? No problem. Useful AI system? Hmmm. How much does storage cost anyway? Oh, not much.
Stephen E Arnold, July 11, 2024
-
- Subscribe to Beyond Search
Feature archive
News archive
-
