Search Results for: machine learning – Page 3

Search Results for: machine learning – Page 3

Sloth Diversifikator - Interview with Diversifikator – robo advisory maket 2020

Interview with Diversifikator—robo advisory market 2020

In conversation with Prof. Dr. Dirk Söhnholz, Managing Director, Diversifikator.
Interview with VisualVest / Robo Advice / Robo Advisory Market 2020

Interview with VisualVest—robo advisory market 2020

In conversation with Dr. Olaf Zeitniz, Managing Director, VisualVest
Robot's interface as metaphor for "A Treasury that manages Itself with AI and Digital Technologies"

A Treasury that Manages Itself with AI and Digital Technologies

How digital transformation can succeed in Treasury and how it changes the Treasurer’s role
Abstract image as metaphor for asset management

Asset Management 2019—update on the development

An industry caught in the cost trap.
Innovations in Trade finance / BankingHub

Innovations in trade finance

Automation and digitalization of the entire trade finance transaction
Voxo – analysis-on-voice-conversation-content / BankingHub

Voxo – analysis on voice conversation content

Interview with Iman Pouya, founder of Voxo.
Bitbond

Bitbond: P2P lending by means of Bitcoin technology—no bank account needed

Businesses from all industries are currently wondering what digitalization might imply for them and which conclusions should be drawn in
Giant robot throwing man in a trash can as metaphor for "AI at work: will AI replace or support us?"

Will AI replace us or make our work easier? – an international study

An international study led by zeb.business school in collaboration with academic partners from ten nations is investigating the impact of AI on work practices.
data as metaphar for five steps to successful AI adoption

Five steps to successful AI adoption in small and medium-sized financial institutions

To ensure that financial institutions of all sizes can leverage AI throughout their organizations, five key steps need to be considered.
Is a personnel strategy smart without AI?

Is a personnel strategy smart without AI?

Looking into the future, we can already state: a personnel strategy without systematic use of AI components will hardly stand a chance of achieving

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