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Pál Kerékfy
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A large share of countries around the world are now using Chinese AI surveillance technology, including facial recognition technology, in full or in part. This is according to a report by Carnegie Endowment for International Peace. Many countries are combining Chinese tech with U.S.-made surveillance tech, among them the U.S. and China themselves, but also India, Australia, Brazil and several European countries. Many countries in Latin America, South-East Asia, Africa and the Middle East are relying on Chinese technology alone after participating in the Belt and Road initiative, as are Japan, Italy and the Netherlands.
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Pál Kerékfy
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IBM has been creating and hiring for "new collar" jobs. They are entirely new roles in areas such as cybersecurity, data science, artificial intelligence and cognitive business that do not necessarily require traditional university degrees, but rather the right skills, often obtained through vocational or on-the-job training. IBM created P-TECH in 2011 to provide young people – primarily from disadvantaged backgrounds – the skills and credentials required for 21st century jobs.
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“What may set IBM apart is the sheer number of IoT playing fields it engages in addition to AI and analytics, including cloud, development tool set, services, device management, storage and security. Add to that its longstanding reach into enterprise and industrial IT.
"Where public clouds [such as Microsoft IoT Hub and AWS] have APIs, Watson has whole solutions," said Bret Greenstein, IBM's global vice president of Watson IoT offerings, which is not to say that IBM insists on provisioning end-to-end IoT deployments; certainly, as part of the IBM Cloud, the Watson IoT platform is all about cross-vendor integration.” Everyone plays with everyone else. “The pattern in IoT is the same as the pattern in cloud; we're containerizing everything.”
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From ransomware to botnets, malware takes seemingly endless forms, and it’s forever proliferating. Try as we might, the humans who would defend our computers from it are drowning in the onslaught, so they are turning to AI for help. Cybersecurity firm Endgame released a large, open-source data set called EMBER (for “Endgame Malware Benchmark for Research”). EMBER is a collection of more than a million representations of benign and malicious Windows-portable executable files, a format where malware often hides. A team at the company also released AI software that can be trained on the data set. The idea is that if AI is to become a potent weapon in the fight against malware, it needs to know what to look for.
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Pál Kerékfy
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As an industry we have made a habit of making a complex business even more complicated by applying solutions of the past instead of embracing the opportunities digitization can provide us all today.Current problems include: - Inconsistent data and inequitable sharing of information across supply chains
- Continued “blind spots” across organizations and geographic boundaries
- Complex, cumbersome and often expensive peer-to-peer messaging
- Too many manual, time-consuming processes that increase costs and delay cargoes
- Inefficient clearance processes which can open the door to fraud
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Pál Kerékfy
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Az új kolléga nagyon rendes, udvarias, segítőkész és precízen dolgozik. Sose okoz problémát. Ha nem tud valamit, kérdez, és elsőre megtanulja. Bárcsak mind ilyenek lennének!
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Pál Kerékfy
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By integrating with Google, IBM and Microsoft, Box is bringing AI capabilities to its platform, but it still won't be enough to steal Google Drive or Microsoft OneDrive customers.
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Pál Kerékfy
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The goal was for the AI to engage in a series of reasoned arguments according to some pretty standard rules of debate: no awareness of the debate topic ahead of time, no pre-canned responses. Each side gave a four-minute introductory speech, a four-minute rebuttal to the other’s arguments, and a two-minute closing statement. So the question is: did Project Debater simply not understand the criteria, or did it understand and choose not to engage on those terms? Watching the debate, I figured the answer was that it didn’t quite get it, but I wasn’t positive. I couldn’t tell the difference between an AI not being as smart as it could be and an AI being way smarter than I’ve seen an AI be before. It was a pretty cognitively dissonant moment. Like I said, unsettling.
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Pál Kerékfy
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Global insurance company Marsh is piloting a proof of insurance platform on a blockchain with IBM's help. Marsh sees great opportunity in leveraging blockchain technology to better serve our clients by maximizing efficiency and creating new opportunities in the insurance value chain.
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Pál Kerékfy
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The new platform could save the global shipping industry billions of dollars a year by replacing the current ... system, which can leave containers in receiving yards for weeks, according to the companies.
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Lexi egy olyan chatbot, amely magyarul válaszol polgárjogi kérdésekre, a feladata pedig jelenleg az, hogy demonstrálja, minként lehet használni a kognitív technológiákat a jog területén. A tanfolyam előrehaladtával nemcsak a diákok, de Lexi tudása is bővül, hiszen a chatbot a használat során folyamatosan tanul, így egyre bonyolultabb kérdésekre tud válaszolni.
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A free robot lawyer that appealed £2 million in parking tickets can now help you in 1,000 areas of law. Lawyers can be really expensive, and for small disputes like fighting your landlord, claiming lost luggage for an airline, or a parking ticket, it can feel like a fight isn't worth it.
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Artificial intelligence is moving from science fiction to practical reality fast, and it's in banks' best interest to gear up now for the changes ahead. Here are some strategies to consider. Already some AI pioneers have emerged in the financial industry just over the past year: Bank of New York Mellon's use of robotic process automation in trade settlement and other back-office operations; Nasdaq's search for signs of market tampering with an assist from AI; UBS' initiative to answer basic customer-service questions through Amazon's virtual assistant, Alexa; and USAA's development of its own virtual assistant. Australia's ANZ Group has been using IBM's Watson in its wealth management division for three years. Watson can read and understand unstructured data found in contracts and other documents, comb through millions of data points in seconds, and learn how to draw conclusions from the data. It can assess a new customer's financial situation more quickly and comprehensively than a human being, and it never forgets anything. (https://www.americanbanker.com/news/anz-turns-to-ibms-watson-to-customize-wealthy-client-services)
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PolicyPal allows customers to buy and manage their insurance policies via mobile. Watson was trained on PolicyPal's database of more than 9,000 insurance policies to be able to gauge the intent of customer queries intuitively, and answer their questions quickly. It has also been trained to explain complex insurance jargon to consumers to improve their understanding of the various insurance products available to them. Watson Conversation uses natural language processing (NPL) and machine learning (ML) to simulate natural human conversation to put consumers at ease.
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Social Capital CEO Chamath Palihapitiya shared his views on IBM and Tesla at the Sohn Conference on Monday.
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Learn how IBM is using weather modeling and precision agriculture to help farmers make better decisions.
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These connected robots contain complex sensor networks to gather information about everything from humidity levels, temperature, vibration and acoustic levels, which feeds back information about real-time machine effectiveness. Anyone looking at the data analytics can instantly see if there is a dangerous situation or simply a performance issue that needs fixing.
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Leveraging blockchain for your IoT data offers new ways to automate business processes among your partners without setting up a complex and expensive centralized IT infrastructure. Blockchain’s data protection fosters stronger working relationship with your partners and greater efficiency as partners take advantage of the information provided.
IBM Watson IoT Platform enables IoT devices to send data to private blockchain ledgers for inclusion in shared transactions with distributed records, maintained by consensus, and cryptographically hashed.
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IBM unveiled its "Blockchain as a Service" today, which is based on the open source Hyperledger Fabric, version 1.0 from The Linux Foundation. IBM. This could allow any private company or government agency to set up a trusted network, which would allow the members to share information freely, knowing that only the members could see it, and the information couldn’t be altered once it’s been entered. Jerry Cuomo, VP of blockchain technology at IBM, says his company is offering a set of cloud services to help customers create, deploy and manage blockchain networks. This fits in with IBM’s broader strategy to offer a wide range of cloud services to its customers. .
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The cloud-based "IBM Q" service is not expected to outperform conventional computers—yet
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This is a digital assistant for the business—one that creates the next-generation professional experience tailored for enterprise processes. IBM announced it will be combining its enterprise iOS mobile apps with IBM Watson for better decision-making and productivity.
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“If we wanted to figure out if a customer is pregnant, even if she didn’t want us to know, can you do that? ” Your shopping habits reveal even the most personal information — like when you’re going to have a baby.
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IBM seeks to transform image-based diagnostics by combining its cognitive computing technology with a massive collection of medical images.
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A startup has partnered with IBM on a toy dinosaur that lets kids converse with Watson.
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Curated by Pál Kerékfy
collaboration expert, CIO, mathematician, university teacher
I share my experience in collaboration, IT service management, risk & security with students and others.
My blog:
https://kerekfypal.blog
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Érdekes, sőt meglepő! Mely országok hagyatkoznak teljesen kínai technológiára a polgáraik mesterséges intelligenciával (pl.: arcfelismerő rendszerrel) való megfigyelésében? Nem mind meglepetés, Latin-Amerika, Délkelet-Ázsia, Afrika és a Közel-Kelet szinte várható volt. De Hollandia, Japán és Olaszország?
Az, hogy az USA a sajátja mellett kínait is használ, és Kína a sajátja mellett amerikait is, kevésbé lep meg.
Az a statisztika is érdekes kérdéseket vet fel, hogy a hatalomgyakorlás módja és a nagyközönség szisztematikus megfigyelése között milyen a kapcsolat. A liberális demokráciák vezetnek. (Persze, ennek simán lehet annyi az oka, hogy több pénzük van effélére.)
Annak fényében, amivel állandóan vádolják a kínai technológiai cégeket és az ország vezetését (és valószínűleg nem alaptalanul), meglep, hogy a fejlett nyugati demokráciák kínai technológiára támaszkodnak egy ennyire kritikus területen.
Mi lehet ennek az oka? Nincs valódi alternatíva? A cikk szerint a három nagy amerikai cég (IBM, Palantir és Cisco) csak kullog a sokat bírált Huawei mögött. Ami azt illeti, a Palantirnak sem kell a szomszédba mennie egy kis erkölcstelen módszerért: http://collaboration.kerekfypal.blog/p/4095150120/2018/03/07/evek-ota-titokban-figyelik-new-orleans-lakoit-a-palantir-technologiajaval
#China #USA #Huawei #Palantir #IBM #Cisco #Kína #Hollandia #Netherlands #Italy #Olaszország #Japan #AI #surveillance #facial