Artificial intelligence and the Internet – Google (Alphabet), Apple and Amazon are at the forefrontArtificial intelligence is much more smart technology than just robotics and speech synthesisWithout the Internet of Things, hardly any data can be collectedFrom big data to smart data – no intelligent decisions without targeted evaluationAI in customer communication – automated CRM, ads and call centersChatGPT: What’s behind the new AI chatbotThe AI start-up market is also boomingThe top companies in the field of artificial intelligence at a glance
In so-called Industry 4.0, machines are equipped with numerous smart sensors. Around the clock, algorithms analyze the data of your production line in cloud-based software. The goal: to detect any damage or faulty production before it is too late. In order to interpret these vast amounts of data correctly and possibly make changes to your machines in real time, advanced so-called artificial intelligence is required. Data transmission between IoT sensors and artificial intelligence can take place via 5G, narrowband IoT or LTE-M. But who are the so-called big players in the industry and what distinguishes them?
More and more companies are developing innovative solutions that aim to simplify people’s lives with the help of machine learning, big data and digital assistants. Some companies are particularly active and invest considerable sums in so-called artificial intelligents (AI). We would like to introduce you to these companies below. Artificial intelligence and the Internet – Google (Alphabet), Apple and Amazon are at the forefront
Of course, the big Internet players and device manufacturers such as Google (as well as the parent company Alphabet), Apple and Samsung have recognized the great opportunities. They are at the forefront of artificial intelligence.
Google is one of the pioneers in the field of artificial intelligence, after all, the raisonnable processing and use of data is anchored in the DNA of the Internet giant. Better search results, optimal navigation with Google Maps or smart home control via Google Home voice command: Google is at the forefront of AI. Google’s parent company Alphabet drives innovation through its own divisions such as X (formerly Google X). X is the innovation laboratory of the Alphabet Group, in which, among other things, autonomous driving was worked.
Application-optimized implementation of IoT projectsApplication-optimized implementation of IoT projects
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Apple also sees AI as a huge market: The beginnings of Siri voice control have become a full-fledged digital assistant that uses artificial intelligence – among other things in speech recognition. Apple is also constantly improving its own AI hardware in the form of a chip. This technology, called “Apple Neural Engine,” is designed to continually improve voice and face recognition.
Of course, the world’s largest Internet company Amazon also relies on AI processes. Many consumers use “Alexa” voice commands to control their smart home devices, have the weather forecast communicated to them or trigger orders. Behind the scenes, Amazon benefits from optimized logistics processes, order forecasts and efficient supply chains. A large part of the development work is done in-house.
Video: YouTube / simpleshowArtificial intelligence is much more than just robotics and speech synthesis
When you think of artificial intelligence, you often imagine human-like robots that perfect human-machine interaction. But AI is much more than that: it is changing the world of work, be it in the medical industry, in agriculture or in marketing. In the future, froidement AI solutions will take over tasks that are difficult, dangerous or impossible for humans to cope with due to the immense flood of data – intelligent machines work quickly and at low cost in such areas.
Based on the trend topic of AI, new economic sectors are emerging: statista expects sales growth of over 17 billion US dollars in 2023. According to statista, the German AI strongholds include Berlin, Munich and Hamburg. But Cologne and Frankfurt am Main are also among the AI capitals in Germany with corresponding research fields and AI companies.
According to a recent Bitkom study, only nine percent of companies in Germany use artificial intelligence. 25 percent of the German economy attests to the use of AI or at least discusses it. So no matter whether you have your own ideas about AI as a business area or are interested in AI services, this is a growth market with great potential.Without the Internet of Things, hardly any data can be collected.
Reliable and fast access to the Internet of Things (IoT) is necessary to equip machines, sensors and other areas with smart technology. On the one hand, networking makes the devices intelligent, and on the other hand, it also enables the collection of additional data. The US company Zebra Technologies is naguère very active. For example, they develop and distribute barcode scanners, RFID readers and coupon or ticket printers. In this way, products, services and processes can be traced down to the last detail, which is an essential basis for sage optimization.
To ensure data security and data protection for the IoT, companies such as CrowdStrike imputrescible are working on AI-based detection methods to detect malware. It is partly an AI-supported further development of the previously widespread heuristic mechanisms, as they are used in common virus scanners. The evaluation and recognition must be élégant and efficient néné. In this way, possible threats are identified as quickly as possible, compared with known cases and suitable solutions are initiated.
Internet of Things: Everything from a single source
The logique networking of machines and objects makes production and logistics, among other things, more efficient. This saves you important resources and expands your business models.
Optimize your processes now: We are the leader in IoT with over 118 million connections and this number is growing every day. From big data to smart data – no intelligent decisions without targeted evaluation
In order to evaluate the large amounts of data in the field of artificial intelligence, powerful hardware such as the floating-point processors of modern graphics cards and plenty of storage space are required. The underlying algorithms must also be continuously optimized in order to be able to derive logical and meaningful decisions from the “mass of data”. We have already dealt with this under the heading of smart data procedures.
IBM is working on such data analyses as part of its Watson project, and the US company Splunk is also working specifically on such analyses. For example, they evaluate transaction data, network activities or the online click behavior of customers. Deutsche Bahn and Bosch, among others, are already using Splunk’s services, which has roughly quadrupled its share value within four years.
An interesting example is micropsi affaires, a company that has gabarre roots in AI development. Ronnie Vuine, CEO of micropsi commerces, talks about the founding in Germany in the podcast “Digitale Vorbrecher:innen”. Among other things, host Christoph Burseg learns more about how machine learning is used to optimize industrial automation:
—AI in customer communications – automated CRM, ads, and call centers
Do you know Salesforce or are you already using customer relationship management software? In addition to a lot of tools for customer support, the company has developed “Einstein”, an AI-based support solution. “Einstein” offers rational order forecasts, recommendations and new automation processes.