Google is planning to use its cloud platform to package artificial intelligence services that are more relevant to multiple industries. The company outlined more details behind its plans to create prepackaged AI services. At Google Cloud Platform's Next '18 conference last month, the company said it would aim to bundle AI for business use cases. Google's approach is worth noting because the cloud giants--AWS and Microsoft Azure--are likely to do something similar. The reality around AI is that there are specific industry use cases--think oil and gas, retail and manufacturing--but a broad set of functions that every company will need to use.
Alibaba Group has launched a slew of cloud products for the global market and earmarked Asia-Pacific as a priority region for growth. And while it is a comparatively young player in the international cloud scene, the Chinese internet giant is playing up its youth, regional datacentre footprint as well as global product releases--such as Anti-Bot Service--as key differentiators against the likes of Amazon Web Services (AWS) and Google. Recognised more widely for its e-commerce prowess, Alibaba first launched its cloud business in China almost a decade ago in 2009. It was only in 2015 that Alibaba Cloud expanded its availability beyond the Chinese market, setting up its international headquarters in Singapore and pledging US$1 billion in investment. The funds were to go towards expanding its datacentre footprint as well as building up its partner ecosystem and developing new cloud offerings.
Oracle on Tuesday released a series of updates to its Transportation Management and Global Trade Management clouds. The updates aim to help companies streamline and simplify compliance with shifting global trade regulations, as well as speed up customer fulfillment, Oracle said. Key to the new features is the injection of data into shipment routes and automated event handling. For instance, routing decisions will now take into account factors such as historic traffic patterns, hazardous material restrictions and tolls when planning shipments. Changes to transportation planning software are designed to improve outbound order fulfillment.
Most of us already know that adopting new cloud applications can boost a business's productivity by enabling organizations to be more agile and ready to change course in our fast-moving and connected digital world. But the rapid adoption of cloud apps and services also brings with it profound security threats, including visibility and control challenges that aren't present in traditional on-premises environments. At the same time, the cloud - because of its interconnected, flexible and adaptable nature - can also provide new possibilities for addressing cloud security problems. By leveraging the power of the cloud with a data science and machine learning cloud-based solution, security and risk professionals can solve many of the traditional security challenges found in popular apps like Office 365, Google Drive, Salesforce and Box. In her session at 19th Cloud Expo, Deena Thomchick, Senior Director of Cloud Security at Symantec, detailed how cloud-based data science, machine learning, computational analysis and intelligent algorithms can work together to help to deliver truly intelligent and responsive security and compliance for the cloud.
CELCOM Axiata Bhd inked an agreement with Huawei Technologies (Malaysia) Sdn Bhd to apply the Cloud-based Digitised Operation Platform, Software as a Service (SaaS) solution. Celcom will be the first in the country to adopt full suite Cloud-based Operation Support Service (OSS) system to accelerate agility in their automation and intelligence of network management, and pave the way for their journey towards becoming a digital company. The Digitised Operation Platform brings together Artificial Intelligence (AI) and Machine Learning technology powered by Huawei's Operation Web Services (OWS) suite, to enhance Celcom's capabilities in managing increasingly complex networks and services. It also enables Celcom to transform their daily operations from reactive to proactive and predictive, and further solidify their drive to deliver an awesome customer experience. The agreement to acquire the platform for Celcom's network operation was signed by Celcom Axiata chief technology officer Amandeep Singh and Huawei Technologies (Malaysia) chief executive officer Baker Zhouxin.
On Google Cloud Platform, Cloud ML Engine provides serverless machine learning, for training, hyperparameter optimization and predictions. Until recently, that was only for TensorFlow. Recently, though, the team has implemented all three capabilities for scikit-learn. In this article, I will take it for a spin. The problem is to predict the weight of a baby given some information about the pregnancy.
Oracle announced its new Trust Fabric initiative on July 26, in an effort to boost the security of its identity and access portfolio. The Trust Fabric strategy is all about bringing autonomous security, enabled by artificial intelligence and machine learning, to more of Oracle's portfolio. The Trust Fabric model includes cloud infrastructure security and monitoring elements as well as Identity and Access Management. "There's no alternative but to use identity as the basis of security because we're really living in a post perimeter world," Eric Olden, senior vice president and general manager of Oracle's Cloud Security and Identity group, told eWEEK. As organizations increasingly use the cloud and mobile applications, Olden said firewalls and perimeter-based security technologies are no longer effective.
The digital era has arrived, and organizations are looking for ways to transform themselves to gain a competitive advantage. The digital initiative that tends to have the most bang for the buck is improving customer experience, which often starts with the contact center. A 2017 survey commissioned by cloud-based contact center vendor Five9 found that customer experience is now the top brand differentiator. Improving customer experience is the primary reason organizations have been migrating away from on-premises contact centers to cloud-based products. The initial wave of cloud-based contact center adoption was driven by the need for omnichannel communications, where sessions can be switched between different channels -- such as voice, chat and SMS -- in real time, with no loss of information.
AWS has become the largest, most dominant public cloud provider in the world, thanks to relentless innovation of new services; secure, globally available infrastructure; and the flexibility to deploy resources and managed services at a moment's notice. Unfortunately, these services are not always cheap. Although AWS' consumption-based billing model has the potential to be efficient, it can also lead to tremendous waste. Except for a few new services, like Lambda, AWS doesn't charge for operational usage, but it does charge for resource consumption. The bill for an individual EC2 instance is the same whether it runs at 95% utilization or 5%.