Nedavna konferenca, ki so jo organizirali slovenski državni holding (SDH), Delo mediji in Inštitut Jozef Stefan, je bila osredotočena na praktično izvajanje umetne inteligence v korporativnem sektorju. Marko Grobelnik iz Inštituta Jozefa Stefana je predstavil pregled globalnih trendov umetne inteligence, pri čemer je poudaril eksponentno rast uporabnikov in naložb ob padcih stroškov, hkrati pa je kot kritična ozka grla označil energijo, čipove in podatkovna središča. Opozoril je na pomemben napredek v kitajskih modelih umetne inteligence in na prehod industrije iz preprostih klepetalcev v avtonomne agente, ki so sposobni opravljati zapletene naloge. V razpravi je bila poudarjena fizična umetna inteligenca, zlasti humanoidni roboti in avtonomni agenti kot glavne poslovne priložnosti za Slovenijo, čeprav pomanjkanje časa in strokovnega znanja ostaja ovira za številne družbe. Predstavniki SDH, Telekom Slovenije in skupine SIJ so delili študije primerov o svojih notranjih projektih umetne inteligence. Telekom je opisal svoj razvoj glasovnih storitev in infrastrukture, pri čemer je opozoril, da se umetna inteligenca obravnava kot organizacijski varnostni projekt, ki se financira iz tekočih prihodkov in ne dolga. SIJ je podrobno opisal svojo optimizacijo proizvodnih procesov z uporabo vizualizacije podatkov
A recent gathering organized by the Slovenian State Holding, Delo Media, and the Jozef Stefan Institute focused on best practices for implementing artificial intelligence within business models. Attendees discussed how these technologies influence corporate competitiveness. The event highlighted physical artificial intelligence and autonomous agents as key opportunities for Slovenia. Marko Grobelnik, a researcher at the Jozef Stefan Institute’s AI department, presented a review of global breakthroughs. He noted that the field develops exponentially, with rapid growth in users, revenues, and investments alongside falling costs for intelligence. However, energy, chips, and data centers remain critical bottlenecks. Grobelnik pointed to the progress of Chinese models, which closely track American ones, and the shift from chatbots to agents capable of executing long tasks independently. His team currently uses such an agent to manage administration and search for information regarding past projects and partners. Beyond software, physical AI, particularly humanoid robots, represents another major direction. Grobelnik argued that physical AI, agents, and applications offer the greatest business opportunity for Slovenia. Marko Stefančič, director of the Competence Center for Artificial Intelligence consortium, stated that a lack of time and knowledge often prevents companies from adopting these tools. Specific implementation cases were presented by the Slovenian State Holding, Telekom Slovenije, the SIJ Group, and the firm Hiproject. Matjaz Bericich, network and infrastructure director at Telekom Slovenije, described the company as moving from experimentation into a stable phase. Telekom provides infrastructure for AI and is reinventing voice services for this purpose. He emphasized that AI serves as an organizational security project. The main challenge involves delivering measurable value to owners. The company funds its AI development through current revenue rather than debt, requiring vision, knowledge, behavior, and ethics. Boris Horvat, IT director at SIJ, outlined four pillars for their strategy: user processes, production processes, automation, and business intelligence visualization. SIJ spends 150 million euros annually on electricity. Optimizing consumption by even one to three percent yields substantial savings. Working with Kolektor, the group visualized data to make real-time decisions. Savings have already recovered an investment of approximately 500,000 euros. At their Ravne facility, a digital twin of the production line reduced gas usage in furnaces. Horvat stressed that humans must remain central to these projects. Urban Pevnik, director of Hiproject, and sales lead Bojan Goluh discussed the integration of humanoid robots into various industries. Their goal is to bring these robots into enterprises. Currently, suppliers are primarily Chinese, though European or American providers may emerge later. Pevnik identified software creation as Slovenia’s specific advantage. Hiproject builds custom software and handles service maintenance. Robots currently walk through factories, while banks facilitate financing for business leasing. Applications range from dance and hospitality reception duties to warehouse autonomy and cleaning. The next stage involves bionic robots resembling humans. Hiproject plans to invest in a robotics center in Slovenske Konjice, which will be unique. A separate financial publication headline suggested discussions on funding sources for such investments, though no further details were provided in the available materials.
Nedavna konferenca, ki so jo organizirali slovenski državni holding (SDH), Delo mediji in Inštitut Jozef Stefan, je bila osredotočena na praktično izvajanje umetne inteligence v korporativnem sektorju. Marko Grobelnik iz Inštituta Jozefa Stefana je predstavil pregled globalnih trendov umetne inteligence, pri čemer je poudaril eksponentno rast uporabnikov in naložb ob padcih stroškov, hkrati pa je kot kritična ozka grla označil energijo, čipove in podatkovna središča. Opozoril je na pomemben napredek v kitajskih modelih umetne inteligence in na prehod industrije iz preprostih klepetalcev v avtonomne agente, ki so sposobni opravljati zapletene naloge. V razpravi je bila poudarjena fizična umetna inteligenca, zlasti humanoidni roboti in avtonomni agenti kot glavne poslovne priložnosti za Slovenijo, čeprav pomanjkanje časa in strokovnega znanja ostaja ovira za številne družbe. Predstavniki SDH, Telekom Slovenije in skupine SIJ so delili študije primerov o svojih notranjih projektih umetne inteligence. Telekom je opisal svoj razvoj glasovnih storitev in infrastrukture, pri čemer je opozoril, da se umetna inteligenca obravnava kot organizacijski varnostni projekt, ki se financira iz tekočih prihodkov in ne dolga. SIJ je podrobno opisal svojo optimizacijo proizvodnih procesov z uporabo vizualizacije podatkov
Ocena pristranskosti (Sredina): Članek poroča o tehnični in gospodarski konferenci, ki se ukvarja z uporabo umetne inteligence v podjetjih. Osredotoča se na tržne trende, specifične podjetniške pobude in operativno učinkovitost, ne pa na politične razprave, regulativne spore ali partijske težave. Ton je informativen.
Zakaj dejstva (85): The article accurately reports on a specific event involving named organizations (SDH, IJS) and individuals (Marko Grobelnik, Marko Štefančič). Claims about AI trends (agents, physical AI) reflect current industry consensus. However, the text appears truncated at the end ('Telekomu Slove'), preventi
Zakaj objektivnost (90): The tone is professional and journalistic. It attributes views clearly to speakers ('Grobelnik emphasizes', 'Štefančič highlighted') rather than presenting them as absolute truths, maintaining a balanced perspective on both opportunities and challenges.
FinanceNeodvisen🔒SredinaDejstva: uradni vir/dokument ni zaznanObjektivnost 100
Zagotavljeno besedilo je sestavljeno izključno iz naslova slovenske finančne publikacije Finance. Naslov je prevedel v "Umetna inteligenca v podjetju: kje dobiti denar za naložbe in razvoj". To kaže, da manjkajoči članek najverjetneje obravnava možnosti financiranja za podjetja, ki želijo izvajati tehnologije umetne inteligence. V vhodnih podatkih ni nobenih posebnih dejstev, navedb ali argumentov.
Ocena pristranskosti (Sredina): Predmet zadeva strategije naložb podjetij in dostop do kapitala za sprejetje tehnologije, kar je predvsem gospodarsko in poslovno vprašanje, ne pa politično sporno. Brez besedila v telesu, ki bi ocenil okvir, ton ali ideološki poudarek, je vsebina privzeto središče
Zakaj dejstva: uradni vir/dokument ni zaznan
Zakaj objektivnost (100): A single headline is inherently neutral and lacks any editorializing, opinion, or loaded language.
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