Podcasts about content intelligence

What's up everyone, today we have the pleasure of sitting down with Ashleigh Johnson, Marketing Technologist at Microsoft. Summary: Ashleigh gives us a glimpse into the enterprise world of martech, and it might not be what you're expecting. She emphasizes embracing the unexpected by seeking diverse roles and rotational programs. Building a personal network within large organizations like Microsoft is crucial for navigating corporate silos. Curiosity and people skills, including shadowing colleagues and effective communication, are paramount. Ashleigh highlights the need for robust documentation and the strategic use of AI for routine tasks to boost productivity. Finally, she advocates for marketers to lead AI deployment, ensuring flexibility and innovation by empowering tool owners to make technology-driven decisions.About AshleighAshleigh started her career at Trend Micro, a global cybersecurity company as a Sales and Marketing Associate with rotations as a Lead Qualification Rep, then a Marketing Coordinator and finally a marketing Ops and Automation associateEventually she would get promoted to Marketing Automation Manager where she was responsible for all things building, QA and campaigns across a variety of martechShe then took on the role of Senior Marketing Operations Manager at Cornerstone OnDemand, a talent experience platform where she rolled out a Content Intelligence tool and a Webinar engagement platformToday Ashleigh is Marketing Technologist at Microsoft on their Platform Operations team where she strategizes and consults on how the martech stack is used across different workstreams of the businessEmbracing Openness in Marketing CareersAshleigh highlights the significance of being open-minded in the marketing industry. She reflects on her early career, noting that she had no idea what martech was when she started. College had prepared her for traditional marketing roles—branding, PR, content management—not martech. She envisioned a straightforward path in these areas but ended up somewhere entirely different.Her entry into martech came by chance, thanks to a rotation program at Trend. This experience unveiled a whole new side of marketing she hadn't considered. Ashleigh stresses that there's much more to marketing than what college teaches. She urges young professionals and students to stay open to various roles and experiences.Ashleigh advises against the narrow approach of targeting only specific job types based on college education. She encourages a broader perspective, exploring different facets of marketing, and being receptive to opportunities that might initially seem outside one's defined path. This openness can lead to surprising and rewarding career paths, as it did for her.Her journey exemplifies the benefits of keeping career options open and exploring the full spectrum of the marketing industry. By stepping outside conventional boundaries, one can discover new and exciting opportunities in martech and beyond.Key takeaway: Embrace the unexpected by diversifying your job search beyond traditional roles. Actively seek out rotational programs or internships that expose you to different facets of marketing. This strategy will help you uncover hidden opportunities and potentially lead to a more fulfilling and dynamic career path.Navigating Martech Silos at Giant CorporationsWorking at a behemoth like Microsoft offers a unique perspective on martech operations. Ashleigh, who has been with the company for two and a half years, admits that the scale still overwhelms her. Coming from smaller enterprises where she handled marketing operations for the entire company, the shift to Microsoft's segmented structure has been significant.At her previous companies, Ashleigh was part of small, global marketing ops teams, typically ranging from three to seven people. These teams managed the martech stack across the entire organization. In stark contrast, Microsoft's martech environment is vast and compartmentalized. Multiple teams handle different aspects, and Ashleigh often finds it challenging to keep track of all the players and their roles.Ashleigh's current role focuses on supporting enterprise cloud products and services, specifically in a pre-sales capacity. There are separate teams for post-sales, gaming, hardware, and other areas, each with their own martech stacks and operations. The sheer size of the company means that even after years, she doesn't know all the teams or their specific functions.Adjusting to this environment has required a significant mindset shift for Ashleigh. She's accustomed to having a comprehensive view of martech operations, working closely with marketing and sales, and understanding the big picture. At Microsoft, she's had to accept a more siloed view, focusing on her specific area and recognizing that she won't have visibility into all parts of the company. It's a continuous learning process, and embracing this limited scope has been a significant adjustment.Key takeaway: When transitioning to a larger organization, prioritize building a personal network within your company. Regularly schedule coffee chats or brief meetings with colleagues from different teams to understand their roles and how they intersect with yours. This will help you navigate the segmented structure and foster a more collaborative and informed working environment.Why Microsoft's Fast-Paced Culture Beats the Slow Corporate MythAshleigh values the collaborative culture at Microsoft. One of her favorite aspects is working with diverse teams and individuals. In such a large organization, there's a role for everything, which means constantly interacting with new colleagues. This variety keeps her projects dynamic and introduces her to smart, creative minds across different domains.When addressing common criticisms of enterprise environments, Ashleigh counters the notion that things move slowly. Contrary to the stereotype, she finds Microsoft's pace anything but sluggish. There's always a project in motion, and new initiatives constantly arise. This fast-paced environment ensures that her work remains engaging and ever-evolving.Another positive is the breadth of experience she gains. Unlike the narrow focus some might expect, Ashleigh's work spans various aspects of martech. Her background in events has expanded to encompass broader martech roles, offering her new perspectives and skills outside her previous specialization. This variety keeps her job interesting and allows her to grow continuously.The enterprise environment at Microsoft provides Ashleigh with both depth and breadth in her career. She appreciates the chance to collaborate with a wide range of professionals and tackle diverse projects, all while maintaining a fast-paced, stimulating work environment.Key takeaway: To maximize your growth in a large organization, actively seek out cross-functional projects that require collaboration with different teams. This approach will not only broaden your skill set but also help you build a diverse professional network, keeping your work dynamic and your career development continuous.Why Curiosity Outranks Experience in Martech CareersCuriosity has been a cornerstone of Ashleigh's career in martech. She attributes much of her success to her insatiable curiosity and willingness to figure things out on her own. Unlike traditional roles with clear guidelines, martech often lacks a roadmap. This absence of predefined instructions demands a curious mindset, constantly seeking to understand how tools and technologies work.Ashleigh enjoys shadowing senior team members, a practice she values dee...

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What's up everyone,If you haven't checked out our previous 3 episodes in our AI series you might want to before this episode, we give you a lot of context around some of the events that have happened and will shape the conversation today.So basically How fast could AI change or replace marketing jobs? How marketers can stay informed and become AI fluent Exploring new paths to future-proof your marketing career in the age of AI Today we're diving into specific tools… there's a lot of noise out there right now.What tools you should play around withIn TMW #107 | ChatGPT and the artificial marketer, Juan Mendoza explains that“...generative AI tools are already everywhere. From text generation to video and audio production, to image creation, there's a thriving industry of technologies taking small slices out of our creative talents, packaging them up, and selling them as a SaaS product on a recurring revenue model. If you're wanting to stay relevant five years from now in the marketing technology industry, you're probably going to have to learn some of these platforms. In 2010 we used to say: “there's an app for that”. In 2023, we will be saying: “there's an AI for that.””OutlineHere are some of the topics for this third AI episode: Key AI technology definitions and how to differentiate real AI tools vs all the noise out there Deep dive into tools Content marketing tools Email and marketing automation tools Predictive analytics tools Text to presentation and pitch deck tools 3D animation tools for product marketers Sales and outreach tools Text to website creator tools Ad and social creative tools AutoGPT and AI agents And a bunch of other tools like conversational search engines, 1-1 convos with celebrities and an even longer list of honorable mentions  Here's today's main takeaway:The key to future proofing your marketing career with the ever changing AI landscape is to stay curious, get your hands dirty and experiment fearlessly: Fill out some forms, spin up free trials, get on wait lists, and give new AI tools a chance. It's only by actually getting your hands dirty that you'll discover which tools truly work for you and which are just part of the ever growing sea of gimmicky AI tools.Definition of tech termsI'll be using some of these terms throughout my analysis of some of these tools so here's a primer explaining the three most common AI technologies used for marketing applications: MLMachine Learning): ML is a way to teach computers to learn by themselves, without having to be programmed for every task. They learn from examples and data patterns to make predictions or decisions. Applications include segmentation, predictive analytics and propensity models. NLPNatural Language Processing: NLP is a subset of ML and focuses on enabling computers to understand, interpret, and generate human language. Includes sentiment analysis, machine translation, named entity recognition, text summarization, and more. NLP techniques usually helps computers understand and communicate with humans using everyday language. GNNGraph Neural Network: GNN also a subset of ML is a type of neural network that aims to handle graph-structured data, data organized like a network or web of connected points. Applications include analyzing relationships between different things like users in a social network or users in your database or recommending additional products based on past purchase history. Real AI vs noisePart of the reason AI gets a really bad rep, especially in martech, is that anything that's built on if statements or simple Javascript logic gets called AI. There's still plenty of AI startups that shout about their proprietary AI when it's probably just a few decision trees and a few interns running spreadsheets.Now though, you have an even bigger bucket of noise that's essentially “slight tweak on Chat-GPT”. Developing AI that was comparable to human performance was a challenging feat prior to GPT's arrival. To achieve this level of sophistication, a company would have had to: make a substantial investment, amounting to millions of dollars developing its own algorithms performing extensive data cleanup But it's so easy now because GPT is so good out of the box. Allen Cheng puts it simply. Starting a new AI venture can be achieved by simply assembling a few elements:  a product developed on GPT-4's user-friendly API a website,  and a marketing campaign.  This is why we're seeing hundreds of AI tolls pop up every week.A lot of these GPT-based products are pretty much indistinguishable from one another. Maybe a handful  have a significant advantage over others but most are gimmicky. And over the next few months, every tool is going to be integrating ChatGPT features inside their products in the hopes of making it stickier.The threat of GPT-nThe part that I find trickiest and the most discouraging about building anything on top of GPT is that any progress you make on fine tuning GPT-4 will totally be wiped out by GPT-5 or GPT-n… Kind of like we talked about in a previous episode with all the tools GPT's plugins killed. So let's cut through the noise and dive into legit AI tools, the ones you should be playing with and experimenting. Content marketing toolsCopy.ai and Jasperhttps://copy.ai/ https://jasper.ai/ AI text generators are very common these days, the two most popular tools, especially for marketers are Copy.ai and Jasper. Both allow you to bypass the initial stage of writing where you face a blank page. The promise of these tools is that they help you in generating ideas, saving time on brainstorming and drafting, and ensuring a consistent production flow, freeing you to focus on higher-level strategic tasks, original research, and connecting with your audience.I've played around with both Jasper and Copy.ai before ChatGPT came out… and they were super unique. But both Copy.ai and Jasper are built on top of GPT, they essentially rent usage of the platform. So they built a pretty nice UI on top of GPT… but now that ChatGPT came out, I'm sure they've seen a drop in usage. Plus GPT-4 is 3 times more expensive.They still offer marketing specific value though and can get you up to speed faster than using CGPT in the form of templates, prompts and workflows. Both are super powerful, you could make a case that Jasper outshines its counterpart a bit, especially on the longer content format but it's also way more expensive. Miguel Rebelo from Zapier has a solid breakdown comparison here https://zapier.com/blog/jasper-vs-copy-ai/ GramarlyGOhttps://www.grammarly.com/grammarlygo Grammarly, the popular spelling and grammar checker which has been using AI for over a decade already, also entered the generative AI niche last month unveiling GrammarlyGO. You guessed it, built on GPT. It has a particular advantage because Grammarly is already widely used and this is just an extra feature so to speak. Instead of just checking your grammar it can now also help you with drafting documents, composing and responding to emails, editing writing for tone, clarity, and length, and brainstorming ideas or outlines for projects within the apps you're already working in. Lots of tools are going the Grammarly route in adding GPT features to their product, like Notion and more recently Superhuman.Other AI writing toolsSome of these specialize in SEO, some in long form content, some in short form… they all do similar things:Copysmith https://copysmith.ai/ Anyword https://anyword.com/ Writesonic https://writesonic.com/Copymatic https://copymatic.ai/ Yaara https://www.yaara.ai/ Rytr https://rytr.me/ Frase https://frase.io/ EmailEmail is just a channel of potential generative content tools so it's not totally distinguishable from the tools we chatted about in the content category. Chances are that the Marketing Automation platform or the customer engagement platform you're already using as a suite of features they are throwing AI next to. Most of these though are just ML.  Some tools like Iterable and Braze have propensity models to find users that are likely to perform a purchase event, that's ML, and it's only based on your data set.  Some tools like Seventh Sense throw AI in front of Send Time Optimization features, these have been around for a long time and are only based on your recipients. This is also ML.  Some tools throw AI in front of Sentiment Analysis features allowing you to analyze and classify the emotional tone of text into useful data. This is a subset of NLP that uses ML. Some tools like 6sense throw AI in front of conversational email assistants that are supposed to be a step up from static drip emails sequences. This is also a form of NLP and generative AI. You're likely to start seeing copy assistants and additional AI features powered on GPT inside of these tools. I wanted to chat about one product that I feel like stands out from others in terms of being built around AI rather than it simply being a feature on the side.Persadohttps://www.persado.com/ One example I've seen (but haven't used myself) of a CEP using more advanced AI is a tool called Persado. The two co-founders are former founders of Upstream in the mobile marketing space. Similar to 6sense's conversational email platform, they've been around for a decade and they claim to leverage NLP + ML to create, optimize, and personalize engagement messaging. So they essentially analyze a bunch of data and identify the most effective emotions, CTAs, language, phrases to drive engagement. It's worth calling it out because it's more than just predicting user behavior and optimizing the best time to send a message, it takes it a step further by also incorporating NLP techniques, understanding the nuances of human language, and generating custom marketing messages that resonate with a unique user. One thing that makes Persado unique is it's not built on GPT, it has its own model that's trained on more than 100 billion digital business language impressions across industries. Potentially less data points than GPT but arguably better and more relevant impressions. As Lisa Spira, VP of Content Intelligence at Persado explains in an interview with Martechseries, “models like OpenAI's ChatGPT are trained on the entire “Wild West” of the Internet, so their results, while delivered confidently by the model, can be riddled with inaccuracies, or even offensive content”. She adds that “Generative AI tools might be capable of writing anything, but we're able to cut through that noise, and train our generative AI to write in a way that motivates recipients to take actions: to open an email, convert on a shopping cart webpage, or stop scrolling and click on a social media ad.”And not just generative AI. Persado is pushing a term called Motivation AI and they have a really cool example of it. Let's say you're in D2C and you're selling sweaters. Generative AI gives you level 1 and 2 content which is Intelligibility and Relevance so it might spit out content like: Sweaters are a knitted garment that usually have long sleeves and are designed to be worn over other clothing In the fall, sweaters provide an extra layer of warmth in the cooler temperatures. They are stylish choice for fall fashion because they come in a variety of colors and styles But the next stage of this is including Emotion to get an output like this:You're going to love these cozy sweaters for fallAnd the following stage, where Persado claims to play is Motivation where you would get an output like this:A cozy invitation: indulge in our luxuriously soft sweaters this fallNow this might all be semantics. I'd argue that with great prompting you can get to generative content that includes motivation and emotion. Optimovehttps://www.optimove.com/ This tool could actually go in the CRM, the CDP or even the email category with the acquisitions they've made in the last few years but another name that I've heard a few times is Optimove. They play in the enterprise arena and primarily serve retailers and gaming operators but they have an interesting suite of AI tools for marketers. I've personally not used the tool but they claim to provide personalized recommendation campaign orchestration with their AI-based marketing bot (Optibot). It provides what they call self-optimizing campaigns that are essentially advanced A/B/n campaign testing that automatically serves the best treatment to individual customers through the use of ML. Source: https://www.optimove.com/pdf/Optimove-Product-Features.pdf Predictive AnalyticsPredictive analytics is a super cool niche of AI application. It essentially enables us to anticipate trends and patterns of consumer behavior based on a bunch of user data. Done right, you can do cool things like uncover users ready to buy amongst a sea of tire kickers, find free users primed for upsells and anticipate customers about to churn.Vidora Cortex (mParticle Intelligent Attributes)https://www.vidora.com/platform/ I wanted to start by calling out a few no-code / low-code predictive analytics / ML pipeline platforms. There's not a ton in this space but it has been growing over the past few years. Many of the big analytics players like Qlik's AutoML, IBM's Watson Studio, Amazon SageMaker, Google's AutoML, have a ML specific tool that does this but it's built for data scientists. Vidora is worth calling out here because it was built more for knowledge workers.Vidora was founded by 3 academics while pursuing their Ph.Ds Caltech and Berkeley, they built systems that utilized machine learning to convert raw data into informed decisions. Their initial vision was to democratize machine learning capabilities. They are a small 20 person startup in SF but their product offers huge potential, so much so that they were acquired by mParticle, a popular CDP. Vidora's platform, Cortex, provides you with the ability to build distinct pipelines for your customer data, so you can then produce various predictive attributes tailored for particular applications. For example if your goal is to identify the customers with the highest probability of purchasing your product in the next 30 days, the pipeline allows you to enhance your retargeting ROI by focusing on this user segment. Similar: https://www.pecan.ai/  https://www.akkio.com/  6sensehttps://6sense.com/It's worth highlighting 6sense here as well. Not specifically an ML tool but it has a wider set of use cases that are a mix of intent data and predictive analytics and a slice of lead scoring… but they've been around for a decade. They use real-time data about your buyers to predict their buying intent and what their current purchasing stage might be. They uncover some of the magic in a blog post about their predictive engine here. They claim to be using: Intent data, web visits, content engagement (1st party) and 3rd party user behavior data from all over the Internet Historical data, events that led up to sales in the past ICP, firmographic and technographic data So they layer intent data on top of historical data and filter it through your ICP and the output is a target list of accounts that show intent to buy and are a good fit for your solution.The secret sauce here is really the 3rd party intent data. This is hidden data that they are able to assign to leads and accounts. Part of the source here is 6sense's proprietary intent network and other B2B review sites like G2, TrustRadius, and PeerSpot.Kumohttps://kumo.ai/ Founded by Jure Leskovec, former Stanford University computer science professor who's known for his bold assertion that AI would eventually be capable of predicting the future. He partnered with the former CTO of Pinterest and Airbnb as well as the former Head of Growth AI at LinkedIn to build Kumo.Using Kumo, companies can not only analyze past events but also predict future opportunities. Kumo uses GNNs (Graph Neural Networks) to identify patterns and relationships in complex data sets that cannot be easily analyzed using traditional statistical or machine learning techniques. This essentially allows marketers to anticipate customer behavior (how much they will spend, which new products they will be more interested in, things that would make them leave for a competitor) and offer personalized product recommendations, promotions, and communication.Predictive analytics isn't a new concept though. We talked a bit about this in our first episode when we mentioned propensity models which tons of larger companies employ today. But this is operationalizing it a step further and not just on your company's datasets. And imagine unlocking this capability for startups. So the idea is that marketing operations teams would change their focus to future customer behaviors. PresentationTomehttps://beta.tome.app/ There are countless AI productivity tools that are all super similar. But one that's been buzzing lately is Tome. They are founded by product leads from Facebook and Instagram, and recently got $43 million in their Series B funding round. They launched an innovative document-to-presentation AI tool, which utilizes GPT-4 to generate text and images and transform a document into compelling presentations, narratives, and stories. Tome's tile system sets it apart from other generative PowerPoint tools on the market and gives Microsoft a run for its money. Not only does it offer robust functionality, but it also boasts a sleek and impressive design.https://gamma.app/ 3D AnimationSpline AIhttps://spline.design/ai Spline AI was created by Alejandro León, it's a YC21 startup that's building a 3D design platform comparable to Figma, it basically allows you to convert text to 3D. For decades, creating in 3D has been super hard. Spline is changing this.You can easily create objects and scenes, edit objects, colors, and properties, add physics and randomness, create animations and events, generate style alternatives, collaborate with others in real-time, and much more. The applications for videos and product marketing are endless here, see a demo here. SalesAI-powered sales tools are popping up every week. Especially in the niche of email outreach. Personalization, subject line optimization, send-time optimization, sales rep coaching, auto suggest follow-up cadences… just a few of the areas where AI can enhance your email campaigns. NLP can analyze email responses and suggest appropriate next steps, helping your sales team respond efficiently. There's tons of players in this space like Cresta, Lyne, Regie. Cresta was funded out of the AI Grant program organized by some of the brightest tech minds in AI. Their founder, S. Zayd Enam chose to leave his PhD program at Stanford to establish the startup. They specifically provide AI guidance software and support that elevates each representative, behavioral mentoring of agents to enhance performance and locate solutions and areas to streamline monotonous tasks.AI Sales Email Coach. It assists you in real-time. Get more positive replies and write better emails faster.https://www.lavender.ai/ https://cresta.com/ https://lyne.ai/cold-email-ai/ https://www.regie.ai/ Web creatorsButternut AIhttps://butternut.ai/ Tagline says it all: Create a website for your business in 20 seconds with AI. Butternut.ai uses generative AI technology that allows users to create websites by simply answering text prompts. The AI technology is designed to function like a personal developer, providing users with an efficient and cost-effective solution for creating and editing websites.Butternut.ai is continuously improving its website builder and is currently working on its v2 version that will offer more design and editing functionalities. Users can even command the AI to perform specific tasks like creating a pricing page with a CTA to sign up.http://Stunning.so https://10web.io Ad and social creativeAlbert.aihttps://albert.ai/ Albert is an autonomous and self-learning digital marketing tool that uses ML + NLP as well as analytics to automate and optimize your paid ad campaigns, specifically Google's search and programmatic channels, as well as Facebook, Instagram, YouTube and Bing. It can automate bidding and budget allocation, keyword and audience targeting, as well as creative testing and optimization. So obviously the part that stands out here is that unlike many other campaign AI tools that just spit out recommendations and then a marketer takes the action, Albert claims to be one of the first tools that's an autonomous AI, it does the action also. Not only that, it's also making adjustments and improvements constantly. You seem to be able to set guardrails of course. They also claim the ability to identify trends, uncover new audience segments, and optimize ad placements. In their docs they say they are more useful in large data sets and B2C environments. AdCreativehttps://adcreative.ai/ AutoGPT and AI agentsI don't think we can go a full episode about AI tools without talking about AutoGPT and AI agents.Essentially you can assign an objective to an AI agent and they work on tasks that lead to accomplish this objective. It's making prompting a bit easier, instead of giving full instructions, the AI identifies the necessary steps to achieve your goal and some of the more advanced ones generate additional AI to assist. You may have seen this on Twitter, I think the first true demo was Yohei Nakajima's impressive demonstration of babyAGI.Things started blowing up with AutoGPT, released by SigGravitas just last week. Described as a self-running AI agent that can write its own code, heal itself from errors, and access the internet via Google search. It does sound really cool for several reasons: Internet access,  long-term and short-term memory management,  text generation,  and integration with 11 Labs for AI text to speech generation.  It's arguable that all of this will be possible with GPT plugins but this is doable today and has different applications, let's unpack a few examples:Social media is primed for automation, lots of the work here can already be automated. But imagine setting an AI agent loose with the objective of creating content, scheduling posts (not just posting them) and replying to comments and questions. Replying to questions is a huge part of customer service, you could argue this is another area that's already being automated with chat bots, especially the better ones connected to help docs. But imagine setting an AI agent loose with the objective of really understanding customer questions (not just picking up a keyword and recommending a help article), it could speak any language and you could train it on your brand tone.We're still early but there's already been a ton of innovation here.Here are some of the tools you can play around with today without reading a GitHub repo:Cognosyshttps://www.cognosys.ai/ Cognosys allows you to operate your personal AutoGPT Agent in-browser which is currently available and free to utilize. I've personally played around with it quite a bit and it's pretty wild, it's not perfect yet but it's really cool seeing how it will add new tasks to get to the objective. The beta is still on GPT-3.5. Here's my favorite example:Main objective was to: Build a list of AI tools that have a marketing application, that were released in the last 3 months. Here were the follow-up tasks it added to get to the objective: 1. Retrieve a list of AI tools that were released in the last 3 months. 2. Filter the list to only include tools that have a marketing application. 3. Compile the filtered list into a final list of AI tools with marketing applications released in the last 3 months. The final list of AI tools with marketing applications released in the last 3 months is as follows:  1. Receptiviti: A tool that uses AI to analyze consumer emotions and sentiment in order to optimize marketing strategies.  2. Cortex: A platform that uses AI to help marketers personalize content and improve customer engagement.  3. Adext AI: A tool that uses AI to optimize ad campaigns and improve ad performance.  4. Acoustic: An AI-powered marketing platform that helps businesses automate and optimize their marketing strategies.  5. Pathmatics: A tool that uses AI to provide insights into ad spending and campaign performance for competitive analysis.  It then added a few extra tasks because it didn't seem satisfied with the list. Research and compile a list of AI tools that have a marketing application and were released in the last 6 months. The result was 6 tools, but not all 5 from the first task were there. Identify the unique features and functionalities of each AI tool on the list and create a comparison chart to evaluate which tools are most suitable for specific marketing applications. Conduct a survey of marketing professionals to gather feedback and opinions on the identified AI tools and their effectiveness in improving marketing strategies.But then it apologized and said it cannot perform that task…  Research and compile a list of case studies showcasing the successful implementation of AI tools in marketing campaigns.It spun up a case study about Coke using "Albert" to optimize their social media advertising campaigns and Amazon using "Rekognition" to analyze customer behavior and personalize their shopping experience.  Create a step-by-step guide on how to integrate an AI tool into a marketing strategy, including best practices and potential challenges.The step by step wasn't too bad.  1: Define the problem or opportunity,  2: Identify the right AI tool by researching and comparing different tools,  3: Understand the data requirements like type of data, format, frequency updates,  4: Prepare the data for integration like cleaning and formatting  5: Integrate the AI tool  Research and compile a list of AI tools that have a marketing application and were released in the last 2 months.Not sure why it did this for 2 months but this time it gave me tools with release dates which was pretty cool but also obvious that I wasn't getting tools released in the last 2 months, I was only getting tools released in the last 2 months since GPT's latest batch of data which was mid 2021.  Create a comparison chart to evaluate the unique features and functionalities of each AI tool on the list and determine which tools are most suitable for specific marketing applications. Also try: https://agentgpt.reworkd.ai/  https://app.hyperwriteai.com/earlyAccess  https://godmode.space/  OtherRewind.aihttps://twitter.com/dsiroker/status/1646895452317700097?s=20 https://www.rewind.ai/ You may have seen their public investor pitch on Twitter, the founder is the former creator of Optimizely and his team built a way for you to record and store everything you've said or heard or seen and they make it searchable. Obviously there's huge privacy considerations with something like this. But people don't seem to care haha they went from 0 to 700k in ARR in 3 months. Perplexity AI https://www.perplexity.ai/ Perplexity is a startup that's changing the way we search the web. With their conversational search engine, you can ask questions in plain English and get accurate answers from various sources. And with $26 million in Series A funding, (including investments from Ed Gil) they're looking to revolutionize the search engine game.Their AI technology sets it apart from traditional search engines like Google, and their chatbot-like interface is user-friendly and intuitive, it is built on top of GPT.Perplexity's focus on accuracy is a breath of fresh air in an era where search engines can be manipulated by advertisers and search engine optimization. The Series A funds will be used to optimize their knowledge database and expand their reach. All in all, Perplexity AI is definitely one to watch in the coming years!Character AIhttps://beta.character.ai/ Imagine being able to have a one-on-one conversation with your favorite celebrity or fictional character - well, that's now a possibility with Character.ai, an innovative AI website created by two former Google engineers. The platform has been growing in popularity since its launch last September, offering users the opportunity to chat with a wide range of characters for free. What's more, the interactions are so seamless that some users have reported spending hours chatting with their chosen personality, almost forgetting that they're talking to a machine.However, there's a catch - the interactions are not real, and the AI's responses may not always be accurate or reliable. Despite this, Character.ai has been embraced by fans who are looking for new ways to engage with their favorite personalities, particularly online. This is especially true for fan fiction lovers who are excited about the tool's potential for creating new experiences and making the barrier to entry for writing fan fiction much lower.But as with any new technology, there are concerns about its impact on real-world relationships, especially if users spend more time on it than with the people they care about. Furthermore, the AI technology could be used by stans to go after a perceived enemy of their favorite star, which could be a problem if it leads to harmful interactions or behavior towards other users.Despite these concerns, Character.ai represents a new frontier for fan culture, offering a new way for fans to engage with their favorite personalities and characters. The platform's growth in popularity is a testament to the human need for connection, and while it may not substitute actual interactions, it provides a unique and exciting way for fans to engage with their favorite personalities.Magichttps://magic.dev/ Magic, a startup developing an AI-driven tool to help software engineers write, review, debug, and plan code changes, just raised $23 million in a funding round led by Alphabet's CapitalG. The platform's CEO, Eric Steinberger, was inspired by AI at a young age and is using his experience as an AI researcher to create a tool that will communicate with users in natural language, helping to improve the speed and cost of developing software.Steinberger claims that Magic can understand legacy code and collaborate with users on code changes, operating like a pair programmer that learns more about the context of both coding projects and developers. The AI colleague that Magic offers will be able to understand code and can help developers navigate it, allowing companies to scale the impact of their current employees and train new employees with less personal coaching.What sets it apart is that it allows developers to describe what they want in English, and the AI will understand it and collaborate with them on the changes. This means that developers can work with Magic like a colleague and send messages telling it what changes they want to be made to the code. This one isn't built on GPT, the company has developed its own neural network architecture that can rapidly read code and is capable of detecting, warning about and overcoming potential bugs in the code. Honorable mentionsGalileo AI - Create editable UI designs from text descriptionhttps://usegalileo.ai/ Notocat - Write your newsletters in Notion and send them to your subscribershttps://twitter.com/razvanilin/status/1643565644061999104 Brainf FM - music made by AI that's scientifically proven to increase focushttps://www.brain.fm/ Meeting notes and transcription appshttps://tldv.io/ https://vowel.com/ Image Vectorizer - Turn small images to vectorhttps://vectorizer.io/Speech-to-text generator for podcasts that creates notes, timestamps and summary contenthttps://castmagic.io/ https://podsqueeze.com/ Text-to-speech AI voice generatorhttps://murf.ai/ https://beta.elevenlabs.io/ Text-to-music AI music generator https://mubert.com/ Text-to-SQL query, connect your database, ask a question, get an answerhttps://usechannel.com/ Teachable's AI course curriculum generatorhttps://teachable.com/ai-curriculum-generator https://twitter.com/teachable/status/1641154548419969048?s=20 The opportunities are endless with AI tools and applications go far beyond marketing. I see too many people on Twitter dunking on using it to help you generate text or as a search engine or fact checker… and they're missing the big picture. People are using AI to Help them build custom meal plans Custom exercise plans Help them build sleeping plans Help them build routines and schedules with their newborns Planning road trips Planning date ideas Acting as a therapist Getting movie and book recommendations Planning a party or event Designing personal budgets Assisting with resume and cover letter writing Summarizing long articles and youtube videos Write SQL queries Explain python and CSS code in plain English ConclusionIt's not like our marketing jobs are gonna vanish overnight, but the shift is happening faster than many of us realize. AI's no longer just a loosely backed buzzword; it's doing things today that we used to think were impossible. So, as marketers, we've gotta take this tech seriously.There's 4 main things marketers should be doing to future-proof their careers: Instead of asking if AI's gonna replace our roles in marketing, we should be talking about how quickly it could happen and what it'll look like if it does. Staying informed and learning from some of the best podcasts and newsletters about AI. Ben's Bites, No Priors Podcast, A Guide for Thinking Humans and the AI Exchange are great resources.    Now is the time to figure out if you need to make changes to your current area of speciality. Ask yourself if you should double down on additional areas like data and API services, getting closer to product and customers or starting to learn about ethics and data privacy. Stay curious, get your hands dirty and experiment fearlessly: Fill out some forms, spin up free trials, get on wait lists, and give new AI tools a chance. It's only by actually getting your hands dirty that you'll discover which tools truly work for you and which are just part of the ever growing sea of gimmicky AI tools. ✌️--Intro music by Wowa via UnminusCover art created with Midjourney

Did you know that more people would rather clean a toilet than call customer support? Due to this, combined with the fact that employing a customer support team during a recession is an expensive luxury, many companies are opting to close down their support teams. Instead, they're shifting their focus to developing knowledge-center content, where customers can find their own answers to their questions. However, does this turn meet all customer needs? How can you make the best knowledge center possible? Are there benefits in maintaining customer support teams? Join Kevin as he interviews his longtime friend and content industry veteran Scott Abel. They discuss different forms of content that can be housed in knowledge centers, the different purposes that content can be used for, and the changes to knowledge-center content caused by the recent pandemic. They also discuss how personalization can be utilized for that content and how the knowledge centers fit within the entirety of the customer experience.  Known as "The Content Wrangler," Scott Abel is a content strategist who helps companies improve how they author, maintain and deliver information to those needing it. He's co-authored "Intelligent Content: A Primer" and "The Language of Content Strategy" and creator of the Content Strategy Series of books from XML Press. In addition, Scott hosts the most popular content-focused webinar show on BrightTALK, attracting tens of thousands of viewers annually. Scott co-produces several events including the annual Information Development World, Technical Documentation RoundUp, and Content Intelligence conferences, and is a presenter at content industry conferences including Intelligent Content Conference (an event he co-founded and later sold to Content Marketing Institute), Content Marketing World, Localization World (North America, Europe, Asia), Content Strategy Applied, and Society for Technical Communication Summit. His blog, TheContentWrangler.com, is a popular destination for communication pros seeking information about content management strategy and related topics. Scott's Info:  Scott's Linkedin: https://www.linkedin.com/in/scottabel/ Scott's Twitter: twitter.com/scottabel  Scott's Blog: thecontentwrangler.com Kevin's Info:  Kevin's Website and Blog: https://bit.ly/3in284l Kevin's Twitter: https://bit.ly/3jhscNG Kevin's Linkedin: https://bit.ly/3xn9SHG  AvenueCX Website: https://bit.ly/3lsSFdR --- Send in a voice message: https://podcasters.spotify.com/pod/show/avenuecx/message

In this episode of The SaaS SEO Show, we've interviewed Jeff Coyle, Co-Founder and Chief Strategy Officer at MarketMuse, and discussed content intelligence and optimization.Here's what we're covering: How a new company should approach its content strategy What content optimization is Moral obligations of content optimization tools Stay Tuned:► Website► LinkedIn► YouTubeThis episode is brought to you by SaaS SEO agency MINUTTIA and sponsored by Ahrefs.Visit ahrefs.com/awt and sign up for free!

David Yang, Ph.D., Co-founder Yva.ai, Founder and Board Director at ABBYY, member of Band of Angels, Silicon Valley based serial entrepreneur specializes in AI, founded 12 companies. David is a globally recognized thought leader, speaker and advisor in the areas of AI, Artificial Neural Networks, People Analytics, Smart 360, Peer-to-peer Continuous Listening, Organisation Network Analytics (ONA), HR metrics, talent measurement, workforce analytics, performance management and Organizational Change. He's the Founder & Chairman of the Board of ABBYY - world leading developer of AI, Content Intelligence, Text Analytics with 1300+ employees in 14 offices in 11 countries. More than 50 million users and thousands of enterprise customers in 200 countries rely on ABBYY's solutions including: PwC, McDonalds, Xerox, Toyota, Yum!Restaurants, Deloitte, PepsiCo, Volkswagen, UCSF. World leading RPA vendors, including UiPath, BluePrism, Robiquity among others rely on ABBYY's AI technologies. Currently David is dedicated to Yva.ai, the company that develops an Ethical People Analytics, Continuous Engagement and Performance Management Platform which helps organizations save millions of dollars by detecting burnout and predicting resignations of key employees. Yva makes 360 scalable, accurate and real-time. Each employee receives personal dashboards and recommendations. The Smart ONA helps executives find informal leaders to lead cross-functional collaboration, agile transformation and customer-focused experience. David created Cybiko, world first hand-held wireless communication computer for teenagers; co-founded iiko, new generation AI powered restaurant and hospitality industry solution; co-founded Plazius, a customer loyalty and mobile payment platform; founded a number of creative art-based ventures, including: FAQ-Café studio, DeFAQto; co-founded Ayb Educational Foundation and Ayb School. David is also a frequent keynote speaker at conferences and corporate events and author of numerous patents and scientific publications. FIND DAVID ON SOCIAL MEDIA LinkedIn | Facebook | Twitter | Instagram © Copyright 2022 Den of Rich. All rights reserved.

David Yang, Ph.D., Co-founder Yva.ai, Founder and Board Director at ABBYY, member of Band of Angels, Silicon Valley based serial entrepreneur specializes in AI, founded 12 companies.David is a globally recognized thought leader, speaker and advisor in the areas of AI, Artificial Neural Networks, People Analytics, Smart 360, Peer-to-peer Continuous Listening, Organisation Network Analytics (ONA), HR metrics, talent measurement, workforce analytics, performance management and Organizational Change.He's the Founder & Chairman of the Board of ABBYY - world leading developer of AI, Content Intelligence, Text Analytics with 1300+ employees in 14 offices in 11 countries. More than 50 million users and thousands of enterprise customers in 200 countries rely on ABBYY's solutions including: PwC, McDonalds, Xerox, Toyota, Yum!Restaurants, Deloitte, PepsiCo, Volkswagen, UCSF. World leading RPA vendors, including UiPath, BluePrism, Robiquity among others rely on ABBYY's AI technologies.Currently David is dedicated to Yva.ai, the company that develops an Ethical People Analytics, Continuous Engagement and Performance Management Platform which helps organizations save millions of dollars by detecting burnout and predicting resignations of key employees. Yva makes 360 scalable, accurate and real-time. Each employee receives personal dashboards and recommendations. The Smart ONA helps executives find informal leaders to lead cross-functional collaboration, agile transformation and customer-focused experience.David created Cybiko, world first hand-held wireless communication computer for teenagers; co-founded iiko, new generation AI powered restaurant and hospitality industry solution; co-founded Plazius, a customer loyalty and mobile payment platform; founded a number of creative art-based ventures, including: FAQ-Café studio, DeFAQto; co-founded Ayb Educational Foundation and Ayb School.David is also a frequent keynote speaker at conferences and corporate events and author of numerous patents and scientific publications.FIND DAVID ON SOCIAL MEDIALinkedIn | Facebook | Twitter | Instagram

Eric has built two podcasts to over 40M downloads to date and he joins us to share how to monetize your Youtube Channel, how to create content that generates inbound leads via blogs, podcasts, and your Youtube Channel.

In this episode I interview Jeff Coyle, who is based in Georgia. Jeff is the Co-founder and Chief Strategy Officer at MarketMuse, which is an AI Content Intelligence and Strategy Platform that transforms how you research, plan, and craft your content. (www.marketmuse.com). In this interview we discuss how Jeff got MarketMuse off the ground with the help of Angel Investors, how most marketers have no idea about the return on investment of their content (including a sunk cost), and also how they eat their own dog food by using their own platform for customer acquisition. www.SaasStartupStories.com www.EmuDomains.com

Having founded — and led to success — a number of successful startups and GSD Venture Studios, the show will revolve around interviews with thought leaders, bringing them together to speak about trends and directions in global technology and AI. And the first episode will offer a peek into the future of Emotion AI and Going Global, featuring AI serial entrepreneur, Dr. David Yang, CEO and Co-Founder of Yva.ai and Founder of ABBYY. Based in Silicon Valley, David is a member of the Band of Angels and has the most captivating journey that brought him to where he is today. He started his first company, ABBYY, back in 1989 when he was in his 4th year as a student at MIPT. The company became a global success over years — today, ABBYY has over 1,000 employees and is a leading developer of Artificial Intelligence, Content Intelligence, Optical Character Recognition, and Text Analytics software with offices in 11 countries. Thousands of companies and more than 50 million users in 200 countries rely on ABBYY applications and solutions. David has become a leading authority of the use of AI for employee engagement — his current company, Yva.ai, explores new applications of machine learning and AI to revolutionize employee engagement, happiness and productivity in the current context of global companies, remote teams, and increased need for solutions to accommodate the changing landscape of business and people operations. About GSD Venture Studios: We travel the world investing in resilient teams bold enough to #GoGlobal. For too long self-motivated entrepreneurs have navigated the minefield of challenges to launching a global company with very little support. The last thing you should bet on in this situation is an unproven team that you don't trust. GSD Venture Studios travels to every corner of the globe inviting resilient teams to establish partnerships that ensure organizations grow the right way, without games or gimmicks. Unlike traditional investors, we take senior operational (often co-founder) roles in these companies, capitalizing on our trusted reputation, experiences, and network to drive explosive growth. More information can be found at: https://www.gsdvs.com/post/interview-with-derek-everything-you-need-to-know-about-gsd About Gary Fowler: Gary has 30 years of operational, marketing, sales, and executive leadership experience including a $1.35 billion dollar exit and a successful Nasdaq IPO. He has founded 15 companies: DY Investments, Yva.ai, GVA LaunchGurus Venture Fund, GSD Venture Studios, Broadiant, etc. Under his leadership, Yva.ai was named one of the Top 10 AI HR Tech companies globally. Gary was recently named one of the top 10 Most Influential AI Executives to Watch in 2020. He is a writer at Forbes Magazine and published over 60 articles on AI and Technology over the last year. More information can be found at: https://www.gsdvs.com/post/meet-gary-fowler

Cruce Saunders, Principal and Founder of [A] – http://simplea.com, joins Christoph Trappe on this episode of the Business Storytelling Podcast. Join Cruce and other content leaders at [A] in the [A]cademy to learn more about content intelligence and content engineering: https://bit.ly/2HFndY0 More podcast episodes: https://lnkd.in/eiUSn7h --- Send in a voice message: https://anchor.fm/ctrappe/message

Today on the podcast, we’re joined by Mallory Russell, the Head of Content Marketing at Square. Mallory believes great content doesn’t just generate brand awareness but services the entire marketing funnel. Learn how her content strategy services a wide variety of Square buyers.Square seeks to answer consumer questions before they even have them, while simultaneously showcasing how their solutions can help support small businesses. Furthermore, Square aims to tell authentic stories that resonate with consumers on a personal level. This powerful combination has helped propel their business to new heights.Find more great content here: ProsAndContent.co

In this episode, we hear from Cruce Saunders, the founder, and principal at [A] (simplea.com). We explore the role of content structure to shape omnichannel enterprise publishing, and to support multiple modes of content delivery. Also, we dive deep into the organizational structures that help support teamwork around the intelligent, modular content that is the foundation for next-generation customer experiences.The difference between omnichannel, multichannel, and cross-channelWe begin by defining the aspects of omnichannel, multichannel, and cross-channel content. Hear how they differ and why they shouldn’t hinder workflow.Cruce describes omnichannel as “…a service-oriented approach to publishing in which any future channel may be added without impacting the overall process of creating, managing, and delivering the content.”Too many organizations compound efforts when attempting to scale delivery, but by deploying better practices centered around content intelligence, they reduce ongoing internal effort, and open up content to reach more endpoints.What’s holding organizations back from delivering omnichannel experiences?Delivering omnichannel experiences requires not just structured content, but also a structured and improved content creation process.“Omnichannel content derives from content that is structured. [The content model] structures the authoring process, which then structures the management and delivery process. Today, all of those things are disconnected.”Cruce shares common blockers organizations face and the importance of structured content. Structured content he sees as the key to delivering the next-generation of customer experiences, and calls on practitioners to dive into the change process.“It’s 2020, we need to get over our allergy to these concepts that are foundational and fundamental to the future.”You can listen to this podcast here or Spotify or Apple Podcasts.

In this podcast episode, we continue the discussions from Hitachi NEXT 2019. Chris talks to Scott Baker, Senior Director, Emerging Business and Data Intelligence at Hitachi Vantara. Scott covers the HCP object storage platform and has responsibility for data protection solutions. This conversation looks at updates to the Hitachi HCP portfolio and associated tools and […] The post #131 – Hitachi Next 2019: Content Intelligence Update appeared first on Storage Unpacked Podcast.

Content Intelligence solutions are now enabling enterprises to make unstructured content more valuable and equip digital workforces with the necessary skills and understanding to make intelligent business decisions. In this episode of the AI Today podcast we interview Bill Galusha, VP Marketing at ABBYY to discuss how content intelligence is helping organizations derive meaning and intent of documents, and add decision-making intelligence, use cases of how companies are successfully applying levels on content intelligence to their processes, and where he sees the future of AI taking corporations. Read more ...

John Saroff, Chief Executive Officer of Chartbeat, talks to your host Vahe Arabian of State of Digital Publishing about the state of content intelligence. Chartbeat is a company that assists digital publishing organizations with understanding what exactly about their content is keeping the audience interested. Support the show.

Enter the true Data Storyteller to the world of Intelligent Content. Rob dives deep into analytics and emerges with a story that rings true from the C-suite down to consumer content. Three things you'll learn: • How a fascination with statistical sports games led to a career of data and analytic storytelling • Why the right KPIs may not be the same across the organization • What is required foundational knowledge for applying data to content strategy   NOTES:   The Alchemy of Content Intelligence by Rob Silas  

In this episode of Creative Influence's Content Conversations, Andrew and Natalie talk with John Wolf - founder of Inspector6.com - and Will Allred - co-founder and COO of Sorter.com - about their ventures which supplement human creativity with AI to ensure we create the best content for the best audiences.

  David Chapman, CEO and founder of 919 Marketing, joins Jack Monson to chat about the latest in marketing innovations in the Franchise industry. Our conversation goes deep into content marketing for new lead generation, how different audiences may find different experiences with the same brand online, and 919's new Content Intelligence platform, "919 Insights."      

Marketers are under pressure to deliver ROI. How do you know what content to produce that will get results?  In Up Close Series 1 episode five we provide the marketer an action plan to understand how AI does the heavy lifting by crawling your website and your competitor's websites as well as analytics sources so you have real-time information to plug into your content strategy. You'll go from guessing what might work to knowing what will work in your content marketing strategy.  By using artificial intelligence (AI) powered marketing technology, content marketers can determine what content to create that will get results. You'll hear how Ceralytics provides a SaaS based model to deliver on this promise to content marketers.  Gain access to all 5 episodes in one recording here: http://www.findandconvert.com/aiforcontent   You’ll also receive the white paper: What is Content Intelligence? 

Marketers are under pressure to deliver ROI. How do you know what content to produce that will get results?  In Up Close Series 1 episode four we cover the role of the competitive audit and why it’s so important in a successful content marketing strategy. We discuss the desired outcome of the competitive audit and how AI can empower marketers to perform a competitive audit with great efficiency, even for brands with many competitors. By using artificial intelligence (AI), content marketers can determine what content to create that will get results. Gain access to all 5 episodes in one recording here: http://www.findandconvert.com/aiforcontent   You’ll also receive the white paper: What is Content Intelligence?   

Up Close Series 1 Episode 3: How to Harness AI in your Content Marketing Strategy  Marketers are under pressure to deliver ROI. How do you know what content to produce that will get results?  In Up Close Series 1, in episode three we review the role of the content audit and why it’s so important in a successful content marketing strategy. We discuss the desired outcome of the content audit and how AI can empower marketers to perform a content audit with great efficiency, even for brands with a high volume of content assets. By using artificial intelligence (AI), content marketers can determine what content to create that will get results. Gain access to all 5 episodes in one recording here: http://www.findandconvert.com/aiforcontent   You’ll also receive the white paper: What is Content Intelligence?     

Marketers are under pressure to deliver ROI. How do you know what content to produce that will get results?  In Up Close Series 2 my co-host is Brandon Andersen, Co-founder at Ceralytics. In episode 2 we dispel the myth that content marketers must produce content in quantity. The goal of marketers is to produce results. We reveal the importance of understanding what works (quality) over misguided goals of quantity. By using artificial intelligence (AI), content marketers can determine what content to create that will get results. Gain access to all 5 episodes in one recording here: http://www.findandconvert.com/aiforcontent  You’ll also receive the white paper: What is Content Intelligence?   

Brandon Andersen, Chief Strategy Officer and Co-Founder of Ceralytics joins me in episode 1 of 5 in the first of our NEW Up Close podcast series. These 5 episodes focus on How to Harness AI in your Content Marketing Strategy. Brandon and I address the painful reality that 90% of content that companies create doesn’t work. Ouch! By using artificial intelligence (AI), content marketers can determine what content to create that will get results. Episode 1 reveals the role of AI in content marketing. Gain access to all 5 episodes in one recording here: http://www.findandconvert.com/aiforcontent  You’ll also receive the white paper: What is Content Intelligence?   

In this episode, Ed Barrow of Idio discusses how Content Intelligence makes sense of unstructured data for asset management firms and enterprise technology companies that want to leverage content for competitive advantage.