Logo

    #predictiveanalytics

    Explore " #predictiveanalytics" with insightful episodes like "Unsere KI-Highlights 2023: Ein Jahr mit Künstlicher Intelligenz im Rückblick", "Transitioning from Corporate to an Innovative Real Estate Tech Startup: Insights and Lessons from Maher Kaddoura and Stasiu Geleszinski", "Accelerating Innovation with Deep Learning in Financial Services", "AI Specialist, Brian Lenahan on how AI can support us as sales professionals." and "Predictive Analytics, IoT and Big Data ay SailGP - with Lahini Sivaganeshan from Oracle" from podcasts like ""KI heute", "Side Hustle City", "Bernard Marr's Future of Business & Technology Podcast", "K2 Sales Podcast" and "Bernard Marr's Future of Business & Technology Podcast"" and more!

    Episodes (5)

    Unsere KI-Highlights 2023: Ein Jahr mit Künstlicher Intelligenz im Rückblick

    Unsere KI-Highlights 2023: Ein Jahr mit Künstlicher Intelligenz im Rückblick

    In unserer speziellen Jahresabschluss-Episode von "KI heute" nehmen wir Euch mit auf eine spannende Reise durch das KI-Jahr 2023. Wir führen durch einen detaillierten Rückblick auf die wegweisenden Ereignisse und Entwicklungen im Bereich der Künstlichen Intelligenz.

    Ein Highlight dieser Folge ist unsere Analyse des "State of AI Report 2023". Wir diskutieren die bedeutendsten Ereignisse und Entwicklungen des vergangenen Jahres sowie die spannenden Prognosen für 2024, die in dem einflussreichen Bericht hervorgehoben werden.

    Wir, Nina und Frank, präsentieren unsere Lieblingsfolgen, sprechen über neue Berufsbilder in der KI-Branche, basierend auf den Erfahrungen der letzten Monate und lassen Gäste der DigitalXchange 2023 zu Wort kommen.

    Wir danken allen Podcast-Gästen für die spannenden Diskussionen und vielfältigen Erkenntnisse, die wir erlangen durften. Und natürlich danken wir Euch als Hörer da draußen!

    Fundstück der Woche: State of AI Report 2023


    OPITZ CONSULTING
    ■■■ Digitale Service Manufaktur

    Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.

    Nina & Frank laden sich Gäste ein und sprechen mit ihnen über aktuelle Entwicklungen im Umfeld der Künstlichen Intelligenz.

    Transitioning from Corporate to an Innovative Real Estate Tech Startup: Insights and Lessons from Maher Kaddoura and Stasiu Geleszinski

    Transitioning from Corporate to an Innovative Real Estate Tech Startup: Insights and Lessons from Maher Kaddoura and Stasiu Geleszinski

    What happens when you transition from corporate to startup? Maher and Stash, seasoned professionals in the tech industry, willingly plunge into the depths of their fascinating journey at nedl.us. From starting their SAS startup to turning their side hustles into a full-time gig, their experiences are an amalgamation of invaluable lessons that you won't want to miss.

    Ever wondered about the intriguing world of PropTech and Real Estate? Well, our guests reveal the potential of Cincinnati as a PropTech capital and the rising influx of syndicators in the commercial real estate industry. Get the lowdown on the value of PropTech, what it takes to navigate complex property transactions, and the impact of information and current data on commercial real estate. Plus, they'll share insights on how their startup uses data to predict property transactions - an invaluable edge for investment opportunities.

    But there's more. We're talking about the challenges of fundraising, the ins and outs of product development, and the struggles of tech talent acquisition. As we wrap up, Maher and Stash will share exciting insights into the world of syndication, ROI in Real Estate, and how partnering with banks can change the dynamics of brokers. If you are inspired by their journey, we invite you to join the Side Hustle City community on Facebook, a community of like-minded individuals, where the conversation continues. Bring your coffee, pull up a chair, and let's chat. See you next week!

    As you're inspired to embark on your side hustle journey after listening to this episode, you might wonder where to start or how to make your vision a reality. That's where our trusted partner, Reversed Out Creative comes in.

    With a team of experienced professionals and a track record of helping clients achieve their dreams, they are ready to assist you in reaching your goals. To find out more, visit www.reversedout.com. We also recently launched our YouTube Channel, Marketing Pro Trends,  which summarizes all of our blog posts.

    Buzzsprout - Let's get your podcast launched!
    Start for FREE

    Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.

    Support the show

    Subscribe to Side Hustle City and join our Community on Facebook

    Accelerating Innovation with Deep Learning in Financial Services

    Accelerating Innovation with Deep Learning in Financial Services

    As AI reshapes businesses, speed and scale to power ever-increasing complex machine learning models, innovative financial services firms are improving predictive analytics, customer experiences, fraud detection, and securing transactions. This session will continue our discussion on accelerating innovation for financial services firms with artificial intelligence. To do this, I am joined by Greg Pavlik, SVP, Data and AI Services, Oracle and Kevin Levitt, Global industry business development, Financial Services, Nvidia

    AI Specialist, Brian Lenahan on how AI can support us as sales professionals.

    AI Specialist, Brian Lenahan on how AI can support us as sales professionals.

    AI Specialist, Brian Lenahan speaks with me on how AI can support us as sales professionals.
    Human connection still plays an important role, we need humans to do the things Alexa cannot.

    We discuss how AI can be applied and integrated in to companies. It has to be something
    valuable. It is a tool; doesn’t replace very important human elements.

    [4:53] Define AI, allows us to create insights we would not be able to gather
    Challenges of accuracy existed and have it has come a long way in the last few years, same true with senses. Garbage in and garbage out still rings true.

    1) Data: Basing AI on bad, incorrect, improperly structured or tagged data still produces
    negative outputs.
    2) Bias: Data heavily biased, insights from algorithm, will be weighted towards these things and not reality. Significant amount of work has been down to correct for this. We need to go a layer above with ethics.

    [9:38] Example of succession planning, bias was removing women out of filter, in the past it was predominantly men so women were taken out of the equation.
    C-suite have to feel comfortable that what is being produced is not a black box they simply get
    an output from.
    Organizations that are producing game changing results are using templates, checklists, have
    introduced a Chief ethics officer, Chief Compliance officer or Chief data officer, to ensure steps have been taking in designing algorithms.

    [15:31] human emotion, empathy.

    [17:30] body language and tone

    [18:55] How you approach automation, frees up time to focus on personalization and creativity.

    [20:00] 4 th industrial revolution is about AI, becomes more important to see how jobs are
    trending, changing, more tools are not always better. Tools that support you such as pipeliner,
    https://www.pipelinersales.com/ bring info to you in an efficient way.

    [23:17] how do millennials use tech?
    Gen z are becoming buyers, more comfortable with a chat vs a F2F conversation.

    [24:33] Experiencing trust person to person that comes with relationships

    [25:48] Amount of data information from video vs text is exponential, we will continue to grow here.

    [26:36] How can sales managers and leaders support their team with AI?
    How the behaviours are all pulled in, do you agree with it?
    How Novartis https://www.novartis.com/ is producing game changing results with AI

    [31:30] Use VR training without the risks. Used in sales training, onboarding

    [34:16] ER Virtual training drives high engagement and adrenaline due to its “realness”.

    [36:35] Conversational analytics, Gong.io, https://www.gong.io/ shares predictable analytics,
    help improve trust as message is supported with data.

    [37:10] call center example, getting on going feedback ie) pitch, pace and real time coaching.
    Gong.io looks at deal intelligence, market intelligence, packaging lot of information for sales
    professionals.

    [38:30] Wingman, https://www.trywingman.com/ coaching sales person with real time tools.
    More tenured reps don’t need to see all the elements anymore, it is customizable to level of
    performance and experience of individual.

    [40:17] Is AI seen as big brother?
    70% Ai projects fail due to the people in them

    [44:39] How can people get started introducing AI in to their c

    For more content like this, join hundreds of other subscribers to The K2 Sales Academy. Our subscription based on line sales training platform.

    $495/year unlocks the Fundamentals of Sales program with built in knowledge checks, resource folder with scripts, templates and checklists as well as regular webinars.

    1:1 and group coaching packages available as well.

    To access our free one week Trial visit The K2 Sales Academy

    Predictive Analytics, IoT and Big Data ay SailGP - with Lahini Sivaganeshan from Oracle

    Predictive Analytics, IoT and Big Data ay SailGP - with Lahini Sivaganeshan from Oracle

    In this Podcast, I talk with Lahini Sivaganeshan, Innovation Advisor at Oracle, about the amazing ways SailGP, a global sailing event, uses data, analytics, and internet of things technology to improve performance. There are many things businesses can learn from how SailGP uses technology to enhance their business and their events.