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On Monday, Apple outlined ways its new artificial intelligence features will let you ask a remodeled Siri to pull up the latest episode of your favorite podcast, use the Mac email app to rewrite your clunky message and generate an AI-customized image in your group chat.

It all sounded useful or fun, in theory. But there are two nagging realities that make it tough to trust AI features that Apple executives described in a prerecorded video and, notably, did not demonstrate live or allow many journalists to try.

First, other companies, including Google, Amazon and Microsoft, have bragged about similarly useful AI features that have not worked nearly as well as they promised. Second, Apple has a rocky track record in AI, including having foisted on you the dimwitted Siri for more than a decade.

If 2023 was the year when AI mania went into hyperdrive, 2024 must be the prove it year.

Too many companies have promised magically useful AI that instead has often been rushed, barely functional, not very useful, insecure or error-prone, including Googles new AI-powered search that suggested people eat glue. All this half-baked technology is a drain on your time, energy and faith in new forms of AI.

Stories to keep you informed

Apples new AI-powered features might be great. Most people wont get their hands on the Apple AI features until September or later, and you might need to buy a new iPhone to use them.

Apple discussed what are essentially two tiers of AI coming to some newer iPhones, Macs and iPads: the companys own AI and that of OpenAIs ChatGPT, which will step in for tasks that Siri or Apples apps cant handle.

Apple showed, for example, that if you wanted AI help to write a custom bedtime story for your child, your phone might ask for your permission to share your written prompt with ChatGPT.

It wasnt clear to me, however, why it wouldnt be simpler just to use the ChatGPT app or website to generate the bedtime story. (Apples own AI may not be capable of this task yet, or Apple didnt want to risk its AI botching a childrens story.)

Apple also lowered the bar for itself by not promising an all-capable AI assistant that would let you skip the steps in planning your vacation or a grocery order.

No companys AI can do that, even the AI assistants from Microsoft, Google and OpenAI that say theyre all-capable. (AI cant even peer into all the places you have relevant information, including a Gmail message, an Excel spreadsheet and a travel invoice in Expedia.)

Instead, Apple said its AI will make what you already do with its apps and, later, potentially other companies apps smarter and easier.

Several of the features Apple showed including AI writing helpers and AI for editing objects out of photos are now standard features from Google, Microsoft or Samsung.

Even with the lower bar, its not clear whether Apple can make solid and flawless AI. This is the company that made Siri; the clunky iTunes program, which even a top executive made fun of; unsuccessful driverless-car software; and auto-correct that thinks youre typing duck. Apple did not respond to a request for comment.

So much AI promises magic and instead is wildly flawed or useful mostly for a small number of tasks.

I dont blame any of you who arent regular users of the new forms of AI and thats most people. Only about 7 percent of Americans are using ChatGPT daily, according to a recent survey conducted for the Reuters Institute for the Study of Journalism.

OpenAI announced a chattier version of its chatbot in May, but it didnt have most of the features the company discussed. Google this year scaled back both its AI image generator and the AI-powered search results after high-profile flubs. Meta AI is kind of dumb. Amazon showed an error-prone AI-upgraded Alexa last year, and it hasnt been released yet. (Amazon founder Jeff Bezos owns The Washington Post.)

Those goofs arent Apples fault, and the company is usually wary of releasing products before theyre polished.

But the backdrop for Apples AI glow-up is that it and other companies are under so much pressure to show off their AI expertise to investors, employees and business partners. Its hard to know if any AI is really made for you or if its mostly for corporate self-interest.

Originally posted here:
Can Apple Intelligence break the pattern of half-baked AI? - The Washington Post

Solutions Review Executive Editor Tim King curated this list of notable artificial intelligence news for the week of June 14, 2024.

Keeping tabs on all the most relevant artificial intelligence news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week, in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy artificial intelligence news items.

Unlike general-purpose AI chatbots, Akkios platform was trained to learn common analyst and media team queries used to build and monitor campaigns.AD LLMconnects directly to popular ad data sources, including Google Ads and Meta, and the most popular data warehouses such as Snowflake and BigQuery. Its easy to then share answers into a dashboard that can be used internally for collaboration or externally with clients for reporting.

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Anomalos unstructured capability makes it possible for enterprises to discover, curate, leverage and ingest high volumes of text data without the risk of using low quality data, which is especially critical for Generative AI applications. This new feature is currently in private beta.

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The new Apple technology aims to unite the personalization of AI with the privacy the company has long built its reputation on. Sure, Apple could do the creepy things that competing AI models out there do, but the company promises it willjust be super safe and helpful.

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The program also provides go-to-market support as well as business and technical mentorship. Participants will tap into a network that includes domain experts from AWS as well as key AWS partners such as NVIDIA, Meta, Mistral AI, and venture capital firms investing in generative AI. AWS also unveiled 2 new AI certifications this week.

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AI agents are sophisticated software entities designed with a specific scope and personality, enabling them to function within predefined parameters and exhibit particular behaviors. Operating autonomously, they can make decisions using advanced AI-based reasoning algorithms, and can independently take actions to achieve their objectives.

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This marks a new era of efficient and intelligent third-party risk and compliance management. With Generative AI woven throughout the Certa platform, a redesigned user interface, and plug-and-play ESG modules, Certa empowers organizations to proactively navigate regulatory complexities while offering robust, compliant, and sustainable third party relationships.

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Customers create AI assistants through a low-code interface. The console makes it possible to customize the messages that a chatbot generates, as well as configure it to perform tasks in a companys internal applications.

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Cribl Copilot is an AI-powered intelligent guide that accelerates efficiency in managing IT and security data at scale. With an innate understanding of the intricacies of complex data infrastructures, Cribl Copilot creates Day 1 value by helping users accelerate deployments and start getting the data they want in a matter of minutes.

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Databricks AI/BI features a pair of complementary experiences: Dashboards, an AI-powered, low-code interface for creating and distributing fast, interactive dashboards; and Genie, a conversational interface for addressing ad-hoc and follow-up questions through natural language.

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This accessibility could have significant implications for video content creation and the AI industry. Luma AIs Dream Machine will go up against the highly anticipated upcoming release ofOpenAIsSora, which also generates video from text.

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Matillion has a long-standing partnership with Databricks, the data and AI company, delivering integration and pushdown into its Databricks SQL data warehouse, which is delivering huge rewards for customers.

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The French startup is just more than a year old but has raised huge sums of money and is vying to take on OpenAI and become Europes AI champion. Mistral AI is building so-called large language models, which underpin applications such as chatbots popularized by ChatGPT.

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Bendigo andAdelaide Bankhas partnered with MongoDB to modernize its core banking technology with MongoDB Atlas as the keystone of an ambitious application modernization initiative.

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The technology potentially allows Snowflake SQL users to get more projects into production faster, accelerate time-to-value, and generate more accurate business insights for better decision-making.

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Through this broadened alliance, Databricks is adding native support for NVIDIA GPU acceleration on the Databricks Data Intelligence Platform. Todays announcement builds on Databricks and NVIDIAs collaboration to offer enriched experiences for enterprises, whether via training classical ML models, building and deploying generative AI applications, or optimizing digital twins.

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Parsables AI-Powered Analytics provides customizable, real-time data visualization tools that enable frontline operators to make informed decisions instantly, addressing issues as they arise and improving overall efficiency and cost-effectiveness.

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Nakasone will also contribute to OpenAIs efforts to better understand how AI can be used to strengthen cybersecurity by quickly detecting and responding to cybersecurity threats.

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Leveraging the familiar GPT experience everyone knows, loves, and uses daily, engineers can find and take action on any resource in their cloud environments. Pulumi Copilot pioneers a new era of cloud infrastructure management, lowering the barriers and empowering organizations to achieve greater agility and innovation in the cloud.

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Now ready for deployment, Quantexa customers will be able to operationalize Gen AI for transformative gains without additional investment in infrastructure, tooling, and any additional skilled resources. Per Thursdays release, Nakasone has served in command and staff positions across all levels of the United States Army with assignments with elite cyber units in the United States, the Republic of Korea, Iraq, and Afghanistan.

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This is the most recent in a series of deployments where RING is leveraged as a foundational analytics and AI data lake repository for organizations in healthcare, financial services and travel services across the globe.

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It also solves the software obsolescence problem, increases software lifespan by more than 60 percent with automatic maintenance, and makes it easy to switch software technology, for example, from PHP to Java, from C++ to JavaScript, etc.

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In addition, Splunk also unveiled the AI Assistant in Security that makes use of generative artificial intelligence (GenAI) to streamlineincident investigationsusing a natural language interface to provide summaries and recommendations and invoke the Splunk Search Processing Language (SPL).

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While generative AI capabilities such as Large Language Models allow users to ask general questions and receive broad answers, AI agents are designed to perform specific, actionable tasks within their domains.

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The solution will leverage Wipros smart operations platform and HPE machine learning development environment to enhance operational efficiency and customer experience for global enterprises.

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Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam, Solutions Reviews enterprise tech community where the human conversation around AI is happening. The goal? To help you gain a forward-thinking analysis and remain on-trend through expert advice, best practices, predictions, and vendor-neutral software evaluation tools.

Join Doug Atkinson and David Loshin as they break down recent forfeiture orders by the FCC involving location data violations by major telecom companies. They discuss the complexities of data sharing, the importance of governance, and the implications of information misuse.

Watch on YouTube

This month on The Jam Session, host Bob Eve is joined by Robert Seiner, Juan Sequeda, and Austin Kronz to tackle this pressing question. The panel discusses the evolving roles of generative AI and data catalogs, exploring their complementary strengths.

Watch on YouTube

My work with companies all over the world has given me a lot of insights into where businesses get lost in the mire of tech and shiny new toy syndrome! In the race to stay ahead of the pack, ignoring the power of data is a surefire way to doom your business. Guess what: with little benefits and outcomes its not working!

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Join us for an exclusive webinar unveiling the next generation of Observe.AIs Conversation Intelligence platform, a pivotal technology transforming the contact center landscape. Dont miss this opportunity to stay ahead of the curve and revolutionize your contact center operations.

Register free on LinkedIn

Nexthink uses AI to help organizations make the shift from reactive to proactive to preventative IT management, resulting in continued improvement in digital employee experience and productivity. Part one of this 45-minute session will show you how Nexthink customers are leveraging AI TODAY to make informed decisions for their companies, faster.

Register free on LinkedIn

For consideration in future artificial intelligence news roundups, send your announcements to the editor: tking@solutionsreview.com.

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Artificial Intelligence News for the Week of June 14; Updates from Apple, AWS, Shreds.AI & More - Solutions Review

[00:01] Agency 100 PlayBook podcast strategy and creative art inherently intertwined right creative needs inspiration to create.

[00:10] And our job as planners is to find them that inspiration find them that thing or that insight. Thats really going to unlock.

[00:18] Smart work for a product.

[00:19] How are we going to create?

[00:21] Speak about what the ask is and then only then well will be able to kind of idea and hopefully come up with some good ideas.

[00:32] That penalty results in a cult health first down.

[00:37] Hello and welcome Im Marc Iskowitz the editor at large for MM+M, and Im pleased to be joined by two VIPs from CultHealth. Yeah, you got a executive creative director Jason Kirshenblatt and we have SVP Strategic Planner Seema Keswani.

[00:50] How are you doing? Im doing great pleasure to welcome you both.

[00:53] Were here to discuss how creative intelligence has helped propel the agency forward the subtext here is everybodys talking about artificial intelligence.

[01:01] But why not try creative intelligence?

[01:04] Lets just kind of take a step back for a moment before we get into the questions.

[01:08] And October 2022 CultHealth which is a full service agency.

[01:12] Was bought by indigene, but youre still maintaining your independence and your proud member.

[01:16] Of the agency 100 weve got a member of the creative team the head of the creative department and the head of the planning department and Jason and see me here. So we can have a very well-rounded discussion on creative intelligence.

[01:30] Lets just jump right in.

[01:31] First of all Id love to get a definition. How do you both define creative intelligence?

[01:36] Its a great question well.

[01:37] As we were kicking around this idea. What is creative intelligence?

[01:42] You know Ill just give you the high Brow definition right we came up with this.

[01:46] Its this this fusion of human creativity with technological and data-driven enhancement.

[01:53] Sounds sounds pretty cool. Huh, what is that mean? You know well, I think really what it is is the culmination of

[02:01] Like you said we were a full service at agency. You know we we like to think were all creative and you know that we did some pretty decent creative.

[02:09] Work over the years.

[02:11] and when we were acquired by in the Gene

[02:15] they come with this.

[02:17] this breath

[02:18] and wealth of data, and I think thats kind of what was really exciting about the merger.

[02:24] And we were able to use this data. You know this this what were calling creative intelligence you know and we app.

[02:32] all departments

[02:34] and along different points of content creation and now we have the opportunity to do it from the beginning all right.

[02:40] So that a lot there, what is that really mean?

[02:42] At the end of the day we all we all use data and how we we start any content creation that we you know ideation.

[02:49] especially in the

[02:50] an hour

[02:50] form of sector right we need the data.

[02:53] And information to inform how were even going to start the brief or seam a comes in.

[02:58] and I think

[02:59] this notion of

[03:01] being acquired by a company that is in the former sector with 30 years of knowledge and data and sort of just this evergreen AI they use AI to kind of inform their data and its growing and how we can now we have that from the beginning as opposed to you know at the end. It will probably get more into depth but

[03:21] kind of you know see me you want to elaborate like what that means in terms of.

[03:25] starting the process because it kind of starts with you on the

[03:28] yeah strategy side. I think I think like as we think about it.

[03:32] Jason gave you the the kind of formal definition and I think from a logistical perspective right it is our marriage with indigen as a company asking a creative agency then being an intelligence company.

[03:42] but

[03:43] I think for me as a planner and in the strategy department really its weve traditionally had really good creative and

[03:49] you know were kind of using that kind of qualitative data that we typically use.

[03:53] And then youve had.

[03:55] you know

[03:56] data models and ais and things like that but

[03:58] It really is The Marriage of those two things right so I am now able to with this kind of new creative intelligence model. Im able to actually.

[04:06] look at insight that scale and look at

[04:09] consumers and customers at scale and a way that I was never able to do before.

[04:13] So I think that.

[04:14] That to me.

[04:16] Is the beauty of it and that?

[04:18] Creativity needs to be intelligent and Intelligence needs to be creative.

[04:21] and thats really what we

[04:24] kind of been able to start to achieve here with call and industry and coming together.

[04:28] and its just its just not

[04:30] A model weve had in the past and I think its exciting and it allows us to.

[04:34] be more precise be more targeted and and

[04:37] you know from the point of planning & strategy like be more true to what the customers want and what they need.

[04:43] So, I think that that if someone asked me was creative intelligence. I would say that its

[04:48] its probably the thing that as a planner Ive been waiting for but I didnt have the infrastructure around me to make it happen. Yeah, we like to say the

[04:55] Smart creative just got more intelligence yeah, right we were doing smart.

[05:01] Creative right I mean look.

[05:03] at the end of the day, we throw the

[05:04] I like to always say we throw these these words like.

[05:06] Concepts around

[05:08] to too often like Ill be honest with you.

[05:10] Einstein those guys had concepts

[05:13] I have ideas you know occasionally theyre good you know.

[05:19] One in 10

[05:20] Im wanting to what fine thats cool.

[05:22] but no that

[05:23] so thats kind of where we

[05:25] kind of play in this space of in creative intelligence and obviously with with AI being such at the forefront of its.

[05:32] Its kind of infancy in a way in a weird way, even though its been around for a while, but its its this right right. Its its its

[05:38] burgeoning like

[05:39] huge

[05:41] Its all we talk about and so many different sectors of work and whatever in our lives.

[05:46] that

[05:47] lets talk about what we can how we can carve our unique path in the agency world and thats where we came up with.

[05:55] Zi and creative and help

[05:57] no, I love it. Yeah. I think you know its how do we make the most of?

[06:01] Like semi were saying you know.

[06:02] We have this infrastructure now.

[06:04] And I remember you know.

[06:06] They probably wouldnt appreciate this being called a commercialization consultancy but Im not sure like how us to describe.

[06:12] You know in the Gene I remember several years ago. They really kind of

[06:15] you know were one of the first to come forward with that you know were data first. Were all about data and I was like well. Can you be more specific? You know but like now it all kind of makes sense now. You know that would now that were in the age of AI and it was really a smart positioning.

[06:27] And you know adding on cults to their platform as a really very complimentary.

[06:31] Obviously move for them to make.

[06:34] And and it sounds like youre all kind of living that you know integrating the two together. Thats part of the strength lies that youre stronger.

[06:41] Than the individual parts because as you see me so youre making.

[06:45] the creative intelligence and the Intelligence becoming more creative

[06:49] and so you know as you and Jason work together.

[06:53] Can you just described for a second how planning you know works hand in hand with creative? I mean Im sure our audience is familiar with that but just for my own edification.

[07:01] Yeah, sure. Yeah, no for sure so you know from.

[07:04] I think strategy and creative are inherently intertwined alright creative.

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The A100 Playbook Podcast | CultHealth: Need more than just artificial intelligence? Try Creative Intelligence. - MM+M Online

WPG, Atlantic City radio starHarry Hurley reverses roles with MH on this weeks installment of the award-winning PodcastOne series, The Michael HarrisonInterview. Actually, this weeks episode of the long-running podcast consists of provocative excerpts from Harrisons recent guest appearance (6/4) on Hurleys popular WPG morning show in which he was booked to discuss the technological and sociological implications of AI.This took place in conjunction with the release of the new Gunhill Road music video, Artificial Intelligence (No Robots Were Injured in the Production of this Song). Harrison co-wrote and performs lead vocals on the song with the venerable band which had its world premiere on WPG that morning and kicked off Harrisons Obsolete Slobs radio tour in support of the piece.The conversation is a no-holds-barred look at the implications beneficial and destructive of the remarkable new technology that is disrupting art, communications, and life here in the early decades of the 21stcentury and promises to have dramatic impact on the course of humanity going forward. Dont miss this! Listen to the podcast in its entirety here.

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REVERSE ROLES: Harry Hurley Interviews MH on Harrison Podcast About Artificial Intelligence - TALKERS magazine

Should I be scared of artificial intelligence?

My default position on any new technology is doubt and skepticism. Blame my Calvinist underpinnings for that but has the latest-greatest ever really lived up to the hype? Even the experts arent sure (or arent sharing) exactly how AI works. Could this possibly take off?

Its been more than a year since artificial intelligenceespecially generative artificial intelligencetook over technology news. Generative AI allows for untold amounts of information to be ingested by powerful computers that then can generate what appears to be original text or images based on requests (called prompts) from users.

If youve read anything about generative AI, you know about the massive investments being made and the innovations, efficiencies, and new worlds AI will open for us, but there are drawbacks too: the disruption well all be facing in our workplaces and, of course, the fakery AI is capable of. Maybe youve seen (or created yourself) samples of this technology in action.

For me, a turning point for my skepticism was a test offered by The New York Times to see if people could determine whether pictures were real or AI-generated. Im a visual guy and thought this would be easy. I failed miserably.

So, should we be scared? When its not clear what is real and what is not, were left to wonder, or worse, give up and just believe what we see. Yes, that is scary.

In a 2023 Atlantic article, philosopher Daniel C. Dennett calls people posing as someone other than their real selves counterfeit people. He makes a compelling argument that creating [or passing along] counterfeit digital people risks destroying our civilization. His solution? Treat counterfeit people like we do counterfeit currency.

Although he admitted it might be too late already, he argued for complete transparency of what has been created by AI and for making sure we have technology (smartphones, scanners, digital TVs, and so on) that can detect counterfeits. And then, just as importantly, we should make counterfeit content creatorsincluding tech company executives and technicianslegally liable for the lies they are telling with AI text and images.

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Should I Be Scared of Artificial Intelligence? - The Banner