The Rise of AI: SaaStock Local

It is estimated that AI will drive 95% of all customer interactions by 2025. So it’s no surprise that over the last 12 months, AI has been one of the most discussed topics around the world.

Tools like Runway, Jasper and Midjourney have dominated these conversations and it seems, at least with the introduction of OpenAI's ChatGPT, there is no avoiding artificial intelligence. Companies are feverishly searching for meaningful uses for it - however with so many options and opportunities where do you start? How do you leverage AI to drive growth for your business as well as for time savings via automation, and on top of that, which tools are best suited for your business?

In this talk, Bastian will guide you through the various AI tools you should be considering, the strategies to drive business growth, and supply plenty of practical examples along the way.

Transcript

1. Bastian Grimm | Peak Ace AG | @basgr The Rise of AI Tools, Strategies & Tips to Drive Growth June 21st 2023
2. A bit of a warmup…
3. Stock Photo or AI? Which image was created by a machine/AI?
4. VS #A #B
5. VS #A #B
6. VS #A #B
7. VS #A #B
8. pa.ag @peakaceag 8 Midjourney V5 has got REALLY good… just wow! Our all-time favourite AI text-to-image generation tool that's available right now: Source: https://www.midjourney.com/ & https://pa.ag/3C11Zwo
9. pa.ag @peakaceag 9 Back when it all started with DALL-E in April '22 DALL-E was primarily responsible for the fact that "mainstream media" started talking lots more about AI as a topic in general: Source: https://pa.ag/3DTj2RR
10. pa.ag @peakaceag 10 DALL-E & Co are/will be deeply integrated to MS products Microsoft recognised the potential of OpenAI early on, as they already invested in it back in 2019. In January 2023, MS invested another $10 billion – just because… Sources: https://pa.ag/3J6pSGb & https://pa.ag/3ZDKJaT Both Microsoft Designer and Image Creator are powered by DALL-E 2 - the AI art generator made by OpenAI. Microsoft invested $1 billion in OpenAI in 2019 and has an exclusive license to use.”
11. pa.ag @peakaceag 11 Actually, it‘s much more than that: meet MS365 Copilot This isn't strictly a topic for marketing, but "interacting with AI“ will soon be part of your daily (work) activities – and you might not even know it: Sources: https://pa.ag/3ASowLb & https://pa.ag/43z5tC0 Invoking Windows Copilot is easy – the button is front and center on your taskbar – simple to find and use. Once open, the Windows Copilot side bar stays consistent across your apps, programs and windows, always available to act as your personal assistant.
12. pa.ag @peakaceag 12 Various alternatives, e.g., Dream Studio by stability.ai Source: https://pa.ag/3fybYlm
13. pa.ag @peakaceag 13 Need help and/or inspiration? Try DS Prompt Builder: Source: https://pa.ag/3JbNxFM Super-simple drag & drop prompt building based on visual elements to choose style, lightning, etc.
14. pa.ag @peakaceag 14 Creating AI prompts is a key skill for any generative AI Whoever formulates the best, most creative and most unique AI prompts will create the best content (and save AI/API credits) Source: https://promptbase.com There is a marketplace (promptbase.com), which is dedicated to trading prompts – use it for inspiration!
15. Each AI has its strengths and weaknesses… The challenge: What to use when?
16. pa.ag @peakaceag 16 BlueWillow.ai to combine the power of multiple models such as DALL-E, Stable Diffusion and more Source: https://www.bluewillow.ai
17. Ok… great. What about real-world use cases though?
18. pa.ag @peakaceag 18 If you need product ads/images fast, try flair.ai AI-generated product photography using a drag-and-drop approach that allows you to place product imagery in literally any environment you can think of: Source: https://pa.ag/3ZNrFqi
19. pa.ag @peakaceag 19 cleanup.pictures Remove any unwanted object, defect or even people from your picture in seconds Source: https://cleanup.pictures
20. pa.ag @peakaceag 20 Another very practical use-case: Scan me, I am a very beautiful QR Code! Source: https://pa.ag/3Xjna6Z
21. General use-cases include building header images (for blog posts), email & social images, and quick image modifications for your marketing efforts What (else) to use it for?
22. pa.ag @peakaceag 22 Interesting but equally scary use-case from Osaka Univ. “We propose a new method based on a diffusion model (DM) to reconstruct images from human brain activity obtained via functional magnetic resonance imaging (fMRI)” Source: https://pa.ag/3ZBaHvG Reconstructing visual experiences from human brain activity offers a unique way to understand how the brain represents the world, and to interpret the connection between computer vision models and our visual system.
23. Speaking of scary stuff…
24. 50% of AI researchers believe there’s a 10% or greater chance that humans will go extinct from our inability to control AI. Source: https://pa.ag/41VW8DV
25. A bit like… catching a flight when 50% of engineers think there's a 10% chance that everyone on it will die. Would you get on the plane? Source: https://pa.ag/42hDGWm
26. Exaggeration? Maybe…
27. pa.ag @peakaceag 27 Voice- & face cloning is already very much possible Granted, it’s not perfect just yet, but it’ll do the trick. Solutions such as ElevenLabs.io or frameworks such as DeepFaceLab are available for free/at-minimum cost, to everybody: Source: https://pa.ag/3mIlAgF Good afternoon, everybody, this is President Obama speaking! My dear friend Bastian asked me to say hello. De-age the face Replace the head
28. pa.ag @peakaceag 28 AI-powered face-swapping tech caused $622k fraud In China, AI-powered face-swapping was used to impersonate a friend of a victim during a live video call and receive a transfer of 4.3 million Yuan: Source: https://pa.ag/3WH8wpz
29. pa.ag @peakaceag 29 AI-generated image caused a brief stock market dip A fake image showing an explosion near the Pentagon was shared by multiple verified Twitter accounts last Monday, causing confusion and a brief dip in the stock market: Source: https://pa.ag/434n6db
30. So, just imagine what’s out there that we don‘t have access to…
31. pa.ag @peakaceag 31 What did I bring for you today? A bit of theory Must-have tools Real-world use cases Future outlook AI vs. Search
32. Some more theory first
33. pa.ag @peakaceag 33 A timeline of AI and language models Source: https://pa.ag/3Ld7yxv
34. pa.ag @peakaceag 34 Larger data sets = more innovations in NLP For example, MUM uses a text-to-text Transfer Transformer (T5) trained on the Colossal Clean Crawled Corpus (C4), which is significantly larger than BERT's training data Source: https://pa.ag/3EFfRfT (MUM) Basis: Web crawl (220 TB) with approx. 3 billion web pages (BERT) Basis: Wikipedia with approx. 56 million articles VS From a marketing standpoint it's easy to say that MUM is 10 times smarter than BERT…
35. Megatron-Turing NLG (Microsoft & Nvidia): 530 billion Pathways Language Model 2 (Google): 540 billion WuDao 2.0 (Beijing Academy of AI): 1.5 trillion There are many more...
36. pa.ag @peakaceag 36 But: OpenAI estimates diminishing returns on scaling size “I think we’re at the end of the era where it’s going to be these, like, giant, giant models,” Altman told an audience at MIT, “We’ll make them better in other ways.” Source: https://pa.ag/42dtttO
37. Newly built from the ground up with true multimodality, high efficiency in using external tools/APIs, memory capabilities, etc. Google is working on a brand- new model: Gemini
38. pa.ag @peakaceag 38 Quality vs. quantity: Breaking down training data sources “A Comprehensive Analysis of Datasets Used to Train GPT-1, GPT-2, GPT-3, GPT-NeoX- 20B, Megatron-11B, MT-NLG, […]“ Source: https://pa.ag/3UId4KA
39. pa.ag @peakaceag 39 Can you really trust the info in those training data sets? The idea: to precisely time malicious modifications just before a snapshot for inclusion in a web-scale dataset, aka “Frontrunning data poisoning”: Source: https://pa.ag/3LuJJ4L If an attacker can precisely time malicious modifications just prior to a snapshot for inclusion […], they can front-run the collection procedure. […] Even if a content moderator detects and reverts malicious modifications after-the-fact, the attacker’s malicious content will persist […]
40. pa.ag @peakaceag 40 Problems & challenges with (large) language models ”Training a single BERT base model (without parameter tuning) on GPUs was estimated to require as much energy as a trans-American flight.” [Source: Mozilla] Source: https://pa.ag/3tuOwJ9 Computing power The quality of the results improves as the size of the LLMs increases. Gains are incremental, while costs increase exponentially. Biased training data If biased data is used, the system will likely show the same bias when making decisions in practice. Environmental impact Training a large transformer model produces 5,680% more carbon emissions than one human per year. Static perspectives Large language models are usually trained once and used over long periods of time.
41. pa.ag @peakaceag 41 A more hands-on “bias example” from Amazon The company developed an AI to help scale recruiting – which didn’t work so well… Source: https://pa.ag/4228GtP Amazon’s computer models were trained to vet applicants by observing patterns in resumes submitted to the company over a 10-year period. Most came from men, a reflection of male dominance across the tech industry. […] In effect, Amazon’s system taught itself that male candidates were preferable. It penalised resumes that included the word “women’s” and downgraded graduates of two all-women’s colleges.
42. Have I scared you enough to not blindly trust anything AI by now?
43. Next up: Tools
44. pa.ag @peakaceag 44 Source: https://pa.ag/3yrqQYn theresanaiforthat.com – yup… there is! If you prefer searching, this might be of help:
45. Be very, very mindful of the data you put into any of those tools. #confidentiality #dataprotection
46. AI for: Text copy
47. pa.ag @peakaceag 47 Overview of AI-based content generation tools Depending on your needs and desired outcome, I am sure you’ll find one you like:
48. Use-cases for Jasper, for example, include helping you write sales copy for outreach emails or content (drafts) for a blog post, etc. What to use it for?
49. Never publish without checking your output first! Expect to check and edit content before it goes live!
50. pa.ag @peakaceag 50 "As an AI language model" query reveals just some of the many issues (e.g., lack of quality control, fakes, etc.) Sources: https://pa.ag/3nuowxU & https://pa.ag/3ALso0B
51. AI for: Audio
52. pa.ag @peakaceag 52 beatoven.ai: Create customisable royalty free music Beatoven.ai uses AI music generation to compose unique mood-based music to suit every part of your creative piece, e.g., video (can be drag and dropped while creating): Source: https://pa.ag/3T9xQD4
53. pa.ag @peakaceag 53 More AI audio & music tools Krisp AI: Removes background voices, noises and echo from all your calls Cleanvoice AI: Removes filler sounds, stuttering and mouth sounds from podcasts or audio recordings Podcastle AI: Studio-quality recording, editing, and seamless exporting – in a single web platform soundraw.io: Royalty-free music, AI generated based on mood, genre and length. Descript.com: To write, record, transcribe and edit video and podcasts Soundbite AI: Turn new and existing audio and video content into ready-to- edit social media posts, and summaries.
54. AI for: Video
55. pa.ag @peakaceag 55 Want to boost personalised interactions with customers? Maverick records once but automatically personalises for all, enabling videos at scale. Source: https://pa.ag/3ZSIZdu
56. pa.ag @peakaceag 56 The Peak Ace team used MURF.ai for a cost-effective localisation of video ads assets: Step 1: Transcribe original script and localise into desired language Step 3: Input your localised copy and export script Step 2: Decide on the voice and style you'd like to use Step 4: Add the new script to your video and adjust until it sounds perfect New FR version Our task/challenge: A client wanted to use a video in different regions but didn’t have local employees to voice the scripts. Original DE
57. pa.ag @peakaceag 57 Other video AI solutions worth checking out:
58. pa.ag @peakaceag 58 Gen-2 by Runway in particular looks crazy cool: Just look at how it transfers the style of any image or prompt to every frame of a video: Source: https://pa.ag/41WwvTp Source Video Generated Video Driving Image
59. AI for: (More) Productivity
60. pa.ag @peakaceag 60 Compose AI: A Chrome extension to make you fast(er) A free Chrome extension to automate your writing Source: https://pa.ag/41TToay
61. pa.ag @peakaceag 61 MailMaestro: Bringing OpenAI LLMs directly to Outlook Generate custom emails and responses based on short prompts; create one click email thread summaries including action points for the receiver: Source: https://www.maestrolabs.com
62. pa.ag @peakaceag 62 Create more, better LinkedIn content with AI using Taplio Establishing a personal brand on LinkedIn is a key pillar of growth. Stop wasting endless hours writing your next post and get fresh ideas using Taplio’s content inspiration layer: Source: https://taplio.com
63. pa.ag @peakaceag 63 ExcelFormulaBot: turn your problem into a formula Transform your text instructions into Excel formulas in seconds (yep, I know: ChatGPT can do that as well…) Source: https://pa.ag/3ythYlb
64. pa.ag @peakaceag 64 Otter.ai for automated meeting notes & summaries Your meeting assistant that records audio, writes notes, automatically captures slides, and generates summaries: Source: https://pa.ag/3LhCcWC Word of advice (and caution, again): It's super practical but getting consent to record is important – especially since some services can automatically send meeting summaries by email afterwards! Also, I am not a lawyer.
65. AI for: No Code
66. pa.ag @peakaceag 66 Akkio.com: Grow faster with No-Code ML Create custom ML models in minutes without a technical background: Source: https://pa.ag/3JwknSC
67. pa.ag @peakaceag 67 Things Peak Ace has done with Akkio and their models: 1. Sales forecasting – e.g., understanding when customers are likely to buy. 2. Churn prediction – e.g., finding out which customers are likely to cancel next. 3. Lead scoring – e.g., understanding which sources generate the highest purchase intent.
68. AI and: ChatGPT
69. pa.ag @peakaceag 69 ChatGPT is currently using OpenAI’s GPT-4 model Including capabilities for browsing (Bing) as well as plug-in usage Source: https://chat.openai.com/
70. pa.ag @peakaceag 70 What makes a good prompt and how do you structure it? Some tips to create better and more efficient prompts for ChatGPT (h/t Mike King): Source: https://pa.ag/42KbNpH Role: Who is ChatGPT creating as? Context: What is the situation it is creating for? Instructions: What specifically do you want it to do? Format: How do you want it to return its response? Examples: Samples of the output that you expect for pre-tuning. Constraints: What should ChatGPT not do?
71. pa.ag @peakaceag 71 ChatGPT combined with AIPRM (prompt mgmt. plug-in) Access a curated selection of ChatGPT prompts specifically designed for SEOs, marketers, sales, support, copywriting and more : Source: https://aiprm.com/
72. pa.ag @peakaceag 72 ChatGPT browsing mode using Bing search: Essentially, OpenAI uses Bing search to enrich output based on automatically generated queries taken from the original ChatGPT prompt:
73. pa.ag @peakaceag 73 ChatGPT plug-ins for more productivity/efficiency e.g., LinkReader allows direct interaction with PDFs, Word documents, etc.
74. Direct integrations into LLMs through plug-ins are going to significantly change the web’s ecosystem
75. pa.ag @peakaceag 75 The new kid (concept) in town: Auto-GPT “The main feature is the ability to use ChatGPT to independently create prompts to plan how to complete a task and then create more prompts for finishing that task.” Source: https://pa.ag/3oWAuRr If the AI agent finds itself unable to complete the task, it will create new prompts to figure out how to proceed. [… ] Auto-GPT is self-prompting, removing the need for creative and detailed prompts. All it needs is a set of goals for a task to complete.
76. pa.ag @peakaceag 76 Automation at scale through OpenAI’s APIs Give it a try using the OpenAI Playground for building/testing your own apps: Source: https://platform.openai.com/playground/
77. pa.ag @peakaceag 77 Google Ads script: RSA generation based on API calls Leverage OpenAI’s API to use the maximum number of responsive search ads assets and, in turn, boost your paid search campaigns: Source: https://pa.ag/40GipUM & https://pa.ag/3phXv1B Another interesting idea:
78. AI vs. Search
79. pa.ag @peakaceag 79 The "new Bing" – Microsoft going all-in on AI in search Bings’ integration of OpenAI’s LLM into its search engine kicked-off a whole series of changes for search in general (some changes are still to come):
80. pa.ag @peakaceag 80 It’s still early days, but initial ad integrations are available How will targeting work? What’s the model? How about bidding? So many questions … Source: https://pa.ag/3Ngtk4C
81. pa.ag @peakaceag 81 Naturally, Google has something brewing as well… Meet Google Bard (which is not officially available in Europe just yet…) Source: https://bard.google.com/ Just use a VPN service of your liking and set your IP origin to the US, or Switzerland even.
82. Search Generative Experience; supercharging search with generative AI Google SGE
83. pa.ag @peakaceag 83 Google‘s Search Generative Experience (SGE) Join the waitlist (if you’re not already on it): g.co/Labs (US proxy needed) Source: https://pa.ag/433w36x
84. pa.ag @peakaceag 84
85. pa.ag @peakaceag 85
86. pa.ag @peakaceag 86
87. Your marketing team needs to be thinking about adapting their SEO strategy, as obtaining organic traffic is likely to get much more difficult in the future. Why should you care?
88. Organic search results will change, but so will ad creation and the integration of ads into the search results. Google to introduce generative AI for ads as well
89. So, where are AI & LLMs headed in the future?
90. pa.ag @peakaceag 90 Amazon entered the game with impressive initial results Amazon has released a new language model that outperforms GPT-3.5 on ScienceQA by 16 percentage points, or with 75.1% to 91.6% accuracy Source: https://pa.ag/3Fl5ZKe Amazon researchers came up with Multimodal-CoT, which combines visual features in a separate training framework, to reduce the effects of these mistakes [hallucinatory reasoning patterns]
91. pa.ag @peakaceag 91 And their own on-site search is most probably next: Source: https://pa.ag/3WUrTfb
92. pa.ag @peakaceag 92 Language models using APIs for even better results This paper shows that LMs can teach themselves to use external tools via simple APIs Source: https://pa.ag/3T1Nq3z Toolformer: A model trained to decide which APIs to call, when to call them, what arguments to pass, and how to best incorporate the results into future token prediction.
93. With one significant goal in mind: improving themselves Models will generate their own training data
94. Because today’s LLMs make stuff up Models will fact-check themselves
95. What if a model could use only the most relevant subset of its parameters to answer a query vs. running through every single one of its parameters instead? Massive sparse expert models?
96. pa.ag @peakaceag 96 MS introduced Kosmos-1, their first multimodal model Kosmos-1 can reportedly analyse images for content, solve visual puzzles, perform visual text recognition, pass visual IQ tests & understand natural language instructions: Sources: https://pa.ag/3L9JP1d
97. True multimodality is going to be a significant step in AI evolution!
98. pa.ag @peakaceag 98 Planning for Artificial General Intelligence and beyond “As our systems get closer to AGI, we are becoming increasingly cautious with the creation and deployment of our models.” Source: https://pa.ag/3mxjSOU The first AGI will be just a point along the continuum of intelligence. We think it’s likely that progress will continue from there […] If this is true, the world could become extremely different from how it is today, and the risks could be extraordinary. A misaligned super intelligent AGI could cause grievous harm to the world; an autocratic regime with a decisive superintelligence lead could do that too.
99. pa.ag @peakaceag 99 The best part of this OpenAI post though? Source: https://pa.ag/3mxjSOU Successfully transitioning to a world with superintelligence is perhaps the most important— and hopeful, and scary—project in human history. Success is far from guaranteed, and the stakes (boundless downside and boundless upside) will hopefully unite all of us.
100. ...hopefully.
101. pa.ag @peakaceag 101 Meanwhile: World’s first AI-flown fighter jet can dogfight In a joint project between DARPA and the US Air Force, a special aircraft called the X-62 Vista became the first tactical aircraft to be piloted by AI: Source: https://pa.ag/3JtRtlS The jet was under the control of one of four different AI algorithms at any given time during the tests. […] This included dogfighting in simulated combat missions, as well as takeoffs and landings
102. Are we really ready for this?
103. pa.ag @peakaceag 103 How do we put this together and how do we think about implementing AI to grow our business? Some ideas: 1. Automation = efficiency, the more menial tasks you automate, the more time you and your team have to tackle the bigger picture & creative items. Don’t forget individual tasks such as emails or meetings, either. 2. Budgets are tight. Leveraging AI tools for content, ad or image creation and other tasks to tackle areas that usually require additional resources result in cost savings across multiple areas of a business. 3. Utilise tools like Akkio to understand the areas of opportunity within your existing business. Identify top prospects to target and go after to drive high conversion rates.
104. Bastian Grimm www.pa.ag twitter.com/peakaceag facebook.com/peakaceag bg@pa.ag Peak Ace: Delivering Digital Experiences Questions? Thoughts?