Simon Sack, Industrial AI Experte
Simon Sack ist Gründer und CEO von NEUROLOGIQ, einem auf Industrial AI spezialisierten Unternehmen mit Fokus auf den Industriestandort Deutschland. Er begleitet Industrieunternehmen dabei, Industriedaten in produktive KI-Systeme zu überführen – von der Potenzialanalyse bis zum Betrieb in der Produktionsumgebung. Als Mitglied des Ständigen Ausschusses im KI Bundesverband, Leiter der AG Defence und Kolumnist für Business Punk ist er einer der aktivsten Gestalter des Industrial-AI-Diskurses in Deutschland.
Als Kolumnist für Business Punk schreibt Simon über Industrial AI – nicht die, die auf Panels glänzt, sondern die, die Entscheidungen in der Produktion beschleunigt. Use Cases aus Werkshallen. Einschätzungen ohne Weichspüler. Klartext aus der Praxis.
Themen
Simon Sack ist Gründer und CEO von NEUROLOGIQ und eine der prägenden Stimmen für Industrial AI in Deutschland.
Seine These ist klar: Industrial AI entscheidet, wer morgen noch Industrie macht – und wer nicht. Nicht als Pilotprojekt, sondern als produktives System im Maschinenraum. Mit NEUROLOGIQ macht er genau das möglich: Industriedaten nutzbar machen, Potenziale identifizieren und skalierbare KI-Lösungen in die Produktionsprozesse des Industriestandorts Deutschland bringen. Von Discovery über Data Engineering bis zur Live-Umgebung.
Als Mitglied des Ständigen Ausschusses im KI Bundesverband, dem größten KI-Netzwerk Deutschlands, arbeitet Simon an einer zentralen Frage:
Als Leiter der AG Defence gestaltet er den Diskurs über KI in sicherheitsrelevanten Bereichen mit – für Technologie, die funktioniert, wenn es ernst wird: resilient, nachvollziehbar, strategisch belastbar.
In Nordrhein-Westfalen treibt er den Aufbau eines KI-Ökosystems mit industriellem Rückgrat voran – Industrial AI und Industriedaten in den Mittelstand bringen, den Industriestandort Deutschland stärken.
Fundament
Das Fundament ist älter als NEUROLOGIQ.
Von 2017 bis 2020 war Simon als freier Entwickler in der produktionsnahen IT bei ZF unterwegs – dort, wo Systeme echtzeitfähig sein müssen, weil sonst die Anlage steht. Energiedaten-Management, Machine Vision, IIoT-Infrastruktur. Hier hat er verstanden, was Industriedaten wirklich bedeuten.
Nebenbei: Informatikstudium. Und nachts stand er am Lichtpult und schickte Punkbands im richtigen Moment ins Strobogewitter. Wer das hinbekommt, hat keine Angst mehr vor Echtzeit-ML in der Produktion.
Auf LinkedIn teilt Simon regelmäßig Einblicke aus dem Shop Floor und Einschätzungen zum Industriestandort Deutschland.
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