The hottest development trend of machine learning

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Machine learning and artificial intelligence industry development trend in 2019

with the arrival of the new year, it is time to turn our attention to the industry development trend in 2019

many people are guessing what will happen in 2019, and this is also the fun for experts in the field of science to predict

Hilary Mason, general manager of cloudera, a machine learning developer, said that machine learning had a wonderful year in 2018, and enterprises will accept machine learning technology in a new and profound way in 2019

"as enterprises shift from proof of concept to production capacity, people will see new progress in the transformation and maturity of enterprise machine learning in 2019." Mason said, "As enterprises seek automated mode detection, prediction and decision-making to promote transformation efficiency, competitive differentiation and growth, the adoption of enterprise machine learning will continue. People will see the development of infrastructure and tools around simplifying the process of building and deploying machine learning applications at the enterprise level, including the rise of cloud native platforms to achieve the flexible automatic expansion of end-to-end machines and the multi cloud portable learning workflow. ”

Dell technology said that the introduction of 5g network will make people live on the edge

the company said: "Low delay and high bandwidth network means more equipment, autonomous vehicle, artificial intelligence, machine learning and commissioning of startec 300KN clay brick pressure testing machine. Due to the pressure test, the customer responded that the oil tank leaked! After repeated experiments and testing machines, the after-sales technical engineer learned that the leakage points: the tensile testing machine of the clay brick machine is clay brick, brick, etc. sometimes the customer needs to do a pressure test, and the insulation time is very long, sometimes some The unit is required to hold at a pressure of 50 tons for 8 hours or more All calculations will take place at the edge because all data will be generated there. " People will soon see the micro data centers distributed throughout the city, which will bring people new "smart" opportunities to let users know the situation in real time in the urban streets. Cities and towns will be more closely connected than ever before, paving the way for smart cities and digital infrastructure. Experts predict that edge computing will flourish in 2030. It will become a game changer in the medical or manufacturing industries. In these industries, data and information can be quickly processed and analyzed in real time after being generated on site, and can be shared with those who need it at any time, rather than being returned to the cloud for processing

Dr. Jans aasman, CEO of Franz, said that the artificial intelligence knowledge chart will integrate information from books, research papers, notes and media interviews, and then re present it in an interactive form. In the market of digital immortality in 2019, artificial intelligence knowledge chart will begin to realize this

"we will see the first example of digital immortality in the form of artificial intelligence digital roles in 2019." Aasman said, "the combination of artificial intelligence and semantic knowledge map will change the work of scientists, technologists, politicians and scholars."

just like Noam Chomsky, it uses human voice to answer questions. AI digital roles will dynamically link information from various sources. For example, transforming different information into knowledge systems that can be digitally interactive. These AI digital personas can also expand the availability of their expertise

adrian Moir, senior consultant of product management of quest software, predicts that the gdpr regulations implemented in 2018 will change the data pattern, and more data will be generated in 2019

"whether or not affected by gdpr regulations (most cases will be affected) , enterprises should regard it as a framework, which is a good starting point for those who build processes. It is important to set up how data is saved and used. If users want to continue to protect their personal information, they need more supervision. I believe people will see the proposal and implementation of more regulatory measures in 2019, such as the 'consumer data privacy act' recently introduced by Oregon Senator Ron Wyden. "

Jack Norris, senior vice president of data and applications of MAPR, predicts that the decentralization of big data has been going on for some time, and this trend will continue to develop in 2019

he said, "Organizations will save time and cost by edge processing and analyzing data, rather than returning it to cloud computing, storing and applying traditional analytics. Their use cases include anomaly detection (fraud), pattern recognition (predictive failure/maintenance). Autonomous vehicles, oil and gas platforms, and medical devices are all early examples of this trend, and we will see more expansion in 2019. The cost driver of this trend is bandwidth considerations (semi connected environment and expensive cellular communication technology) and storage (reduce the amount of data sent to the cloud). "

monte zweben, CEO of slice machine, said that the IT market has fluctuated in recent years, and Hadoop will strive to maintain its market position in 2019

he pointed out, "the number of new Hadoop customers will decrease, and the growth of Hadoop clusters will slow down. The SQL data platform based on cloud computing will see a large-scale growth. Machine learning will emerge from the background and become a core operating component of enterprise business. At the same time, it will continue to grow and expand the database horizontally, forcing Oracle to disclose risk factors in its financial reports."

for many years, people have been living in distributed data islands, and this trend shows no sign of slowing down. Dan sommer, senior director of qlik, predicted that, "In 2019, people will be better prepared to handle distributed workloads with all distributed data. Today, one of the biggest unproven trends is the rise of kubernetes. In short, these technologies have adopted a single technology in the past and dispersed it, fundamentally realizing a new method of expanding workload and third wave authorization. Just as before expanding hardware and infrastructure, expanding workload will stimulate innovation Have a huge impact. In 2019, most enterprise architects from industry-leading organizations view microservices and container orchestration as key architectural components of business intelligence and analysis platforms. "

gooddata CEO Roman Stanek predicted that enterprises should prepare for the exit of some data platforms used in the past

stanek said, "modern enterprises will continue to phase out technologies like Hadoop. The merger of hortonworks and cloudera first demonstrates the expected value of Hadoop in 2019. Data still needs management tools, but with the rise of artificial intelligence and machine learning, its complexity will be eliminated."

josh poduska, chief data scientist of domino data lab, predicted that "AI will change from hype to commercial influence in 2019, and the honeymoon of AI will officially end. 2019 will be a year when AI will become an organizational reality, rather than experiment, repair and doubt."

Seth Deland of

mathworks predicts that machine learning will be integrated into products and services with greater advantages

he pointed out that, "Machine learning has appeared in some fields: image processing and computer vision for face recognition, price and load forecasting of energy production, fault forecasting of industrial equipment, etc. in the coming year, as more and more companies are inspired to integrate machine learning algorithms into their products and services by using extensible software tools (including Matlab), it can be expected that more and more machine learning will be available."

Ron agresta, head of product management at SAS, said that organizations must strike an appropriate balance between the two data forces, including "aggressive" data capabilities (i.e. using data insight to improve profits) and "defensive" data capabilities (such as governance and security). Now there has been some confusion, so it is expected that the defense will be rebalanced in 2019. "

he said, "the additional review of data collection and use has put many enterprises on the defensive. Many companies rely almost entirely on monetized data abandoned by users, but in this area, regulatory attention is increasing. It is expected that more consumer data protection laws will be introduced and the technology will be changed accordingly."

Forrester, a research firm, predicts that CIOs will become hot figures in 2019. The company points out that "if the CIO cannot perform his duties, the business relationship will break down and the CEO will find someone else to lead the technology agenda. However, those successful CIOs will be promoted to more influential enterprise managers in their existing organizations or to the next it challenge."

since the start of the big data revolution, complexity has plagued potential data science practitioners. The Hadoop ecosystem is a typical example. This is why Tripp Smith, CTO of clarity insights, said that enterprises will accept simplification in 2019

he pointed out that, "Today, more than ever, enterprises are sacrificing performance or cost optimization to increase simplicity. Ten years ago, we tried to reduce or eliminate the need for it within the enterprise. Today, organizations need data-driven, so how to analyze and digest data also needs to be simplified. This means adopting cloud computing. It is worth paying more for cloud computing infrastructure, thereby saving the higher cost of finding high-quality engineering resources."

windy Garrett, vice president of North America of ATOS, predicts that the emergence of artificial intelligence has affected the jobs of the labor force, and this trend will continue in 2019

he said, "the carbon emission of artificial global transportation before applying antirust oil accounts for 29%. Intelligence will be clearly needed in 2019 and beyond, and the number of labor will continue to grow to meet this specific demand. In 2019, the industry will significantly increase artificial intelligence projects, and enterprises will retrain and upgrade their existing workforce to maintain the relevance of the competitive market." Attach importance to original innovation

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