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
   

   View Slide

2. A bit of a warmup…
   

   View Slide

3. Stock Photo or AI?
   Which image was created by a machine/AI?
   

   View Slide

4. VS
   #A #B
   

   View Slide

5. VS
   #A #B
   

   View Slide

6. VS
   #A #B
   

   View Slide

7. VS
   #A #B
   

   View Slide

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
   

   View Slide

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
   

   View Slide

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.”
    

    View Slide

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.
    

    View Slide

12. pa.ag
    @peakaceag
    12
    Various alternatives, e.g., Dream Studio by stability.ai
    Source: https://pa.ag/3fybYlm
    

    View Slide

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.
    

    View Slide

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!
    

    View Slide

15. Each AI has its strengths and weaknesses…
    The challenge: What to use when?
    

    View Slide

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
    

    View Slide

17. Ok… great.
    What about real-world
    use cases though?
    

    View Slide

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
    

    View Slide

19. pa.ag
    @peakaceag
    19
    cleanup.pictures
    Remove any unwanted object, defect or even people from your picture in seconds
    Source: https://cleanup.pictures
    

    View Slide

20. pa.ag
    @peakaceag
    20
    Another very practical use-case:
    Scan me, I am a very beautiful QR Code!
    Source: https://pa.ag/3Xjna6Z
    

    View Slide

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?
    

    View Slide

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.
    

    View Slide

23. Speaking of scary stuff…
    

    View Slide

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
    

    View Slide

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
    

    View Slide

26. Exaggeration? Maybe…
    

    View Slide

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
    

    View Slide

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
    

    View Slide

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
    

    View Slide

30. So, just imagine what’s out there
    that we don‘t have access to…
    

    View Slide

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
    

    View Slide

32. Some more theory first
    

    View Slide

33. pa.ag
    @peakaceag
    33
    A timeline of AI and
    language models
    Source: https://pa.ag/3Ld7yxv
    

    View Slide

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…
    

    View Slide

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...
    

    View Slide

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
    

    View Slide

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
    

    View Slide

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
    

    View Slide

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 […]
    

    View Slide

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.
    

    View Slide

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.
    

    View Slide

42. Have I scared you enough to not
    blindly trust anything AI by now?
    

    View Slide

43. Next up: Tools
    

    View Slide

44. pa.ag
    @peakaceag
    44
    Source: https://pa.ag/3yrqQYn
    theresanaiforthat.com
    – yup… there is!
    If you prefer searching, this
    might be of help:
    

    View Slide

45. Be very, very mindful of the data
    you put into any of those tools.
    #confidentiality #dataprotection
    

    View Slide

46. AI for:
    Text copy
    

    View Slide

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:
    

    View Slide

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?
    

    View Slide

49. Never publish without
    checking your output first!
    Expect to check and edit content before it goes live!
    

    View Slide

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
    

    View Slide

51. AI for:
    Audio
    

    View Slide

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
    

    View Slide

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.
    

    View Slide

54. AI for:
    Video
    

    View Slide

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
    

    View Slide

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
    

    View Slide

57. pa.ag
    @peakaceag
    57
    Other video AI solutions worth checking out:
    

    View Slide

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
    

    View Slide

59. AI for:
    (More) Productivity
    

    View Slide

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
    

    View Slide

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
    

    View Slide

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
    

    View Slide

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
    

    View Slide

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.
    

    View Slide

65. AI for:
    No Code
    

    View Slide

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
    

    View Slide

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.
    

    View Slide

68. AI and:
    ChatGPT
    

    View Slide

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/
    

    View Slide

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?
    

    View Slide

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/
    

    View Slide

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:
    

    View Slide

73. pa.ag
    @peakaceag
    73
    ChatGPT plug-ins for more productivity/efficiency
    e.g., LinkReader allows direct interaction with PDFs, Word documents, etc.
    

    View Slide

74. Direct integrations into LLMs through
    plug-ins are going to significantly
    change the web’s ecosystem
    

    View Slide

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.
    

    View Slide

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/
    

    View Slide

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:
    

    View Slide

78. AI vs.
    Search
    

    View Slide

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):
    

    View Slide

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
    

    View Slide

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.
    

    View Slide

82. Search Generative Experience;
    supercharging search with generative AI
    Google SGE
    

    View Slide

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
    

    View Slide

84. pa.ag
    @peakaceag
    84
    

    View Slide

85. pa.ag
    @peakaceag
    85
    

    View Slide

86. pa.ag
    @peakaceag
    86
    

    View Slide

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?
    

    View Slide

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
    

    View Slide

89. So, where are AI & LLMs
    headed in the future?
    

    View Slide

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]
    

    View Slide

91. pa.ag
    @peakaceag
    91
    And their own on-site search is most probably next:
    Source: https://pa.ag/3WUrTfb
    

    View Slide

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.
    

    View Slide

93. With one significant goal in mind:
    improving themselves
    Models will generate their
    own training data
    

    View Slide

94. Because today’s LLMs make stuff up
    Models will fact-check
    themselves
    

    View Slide

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?
    

    View Slide

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
    

    View Slide

97. True multimodality is going to be
    a significant step in AI evolution!
    

    View Slide

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.
    

    View Slide

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.
    

    View Slide

100. ...hopefully.
     

     View Slide

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
     

     View Slide

102. Are we really ready for this?
     

     View Slide

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.
     

     View Slide

104. Bastian Grimm
     www.pa.ag
     twitter.com/peakaceag
     facebook.com/peakaceag
     bg@pa.ag
     Peak Ace: Delivering Digital Experiences
     Questions? Thoughts?
     

     View Slide