In this post, we will talk about how IBM Consulting Platform Services on AWS is built using AWS-native services, helping enterprise customers embrace the new cloud operating model by streamlining Day 2 operations.
The new platform leverages AI/ML assets built by IBM Consulting and AWS cloud-native services like Amazon CloudWatch, Amazon DevOps Guru, AWS X-Ray, Amazon Lex, and AWS Systems Manager to help enterprise customers to implement the following use cases:
IBM’s new Services Platform uses AI to help businesses manage their IT operations
IBM Consulting Platform Services also helps customers reduce total cost of ownership (TCO) by 15-40% depending on the maturity of the enterprise. By bringing in AI-driven smart operations, enterprises can streamline their Day 2 operations to maximize their cloud investments.
IBM's service units include Global Business Services, which houses Big Blue's management consulting operations, and Global Technology Services, which provides mobility, networking, business continuity and outsourcing, among other services. Like other large IT services providers, in recent years, IBM has moved to purchase companies offering cloud consulting and implementation services. In 2016, for example, IBM purchased Bluewolf, a Salesforce channel partner and cloud consultant. Bluewolf was folded into IBM's Interactive Experience practice, which is part of Global Business Services. In 2015, IBM acquired Meteorix LLC, a Workday services partner.
IBM today launched the Environmental Intelligence Suite, a set of AI-powered software that customers can use to prepare for climate risks that could disrupt operations. By combining AI, weather data, climate risk analytics, and carbon accounting capabilities, the Environmental Intelligence Suite can be used to help organizations assess their impact on the planet while reducing the complexity of regulatory compliance, IBM says.
Brands that we see with regularity are engaging in AI projects to help them become more efficient and productive businesses. Companies such as Google, IBM, Salesforce, Facebook and many others are implementing AI in everyday operations and many more are seeing the vast potential offered by machine learning and AI technology.
There is lack of trust in AI technology. From expectations that AI will replace jobs to concerns about data privacy and security, there persists a lack of trust in AI technology. This presents a significant challenge for businesses as they work to instill confidence in the new technology that powers their operations and ensure that the necessary cybersecurity measures are in place to protect consumer data.
The workforce is not equipped to manage the rise in AI technology. To ensure that AI technology functions as anticipated, we need a skilled workforce to manage it. Until businesses can upskill their workforce to meet AI-focused challenges, we will likely see some stagnation in AI adoption.
By supporting open communities and standards, IBM is giving clients a range of choices to create comprehensive hybrid cloud strategies for their businesses in order to help them address market place demands more quickly.
Beyond scanning health records to help providers identify chronically ill individuals who may be at risk of an adverse episode, AI can help clinicians take a more comprehensive approach for disease management, better coordinate care plans and help patients to better manage and comply with their long-term treatment programmes.
Kinkade observes that organizations are being driven toward digital transformation faster than ever before. In many cases this means adopting a hybrid, multi-cloud environment on which to run their businesses with greater efficiency, agility, and resilience. These organizations turn to IBM and VMware to help them make the best cloud-smart decisions along their journey that will deliver optimal results and keep their business assets secure.
This need is especially critical in regulated industries, such as financial services, healthcare, and the public sector. In response, IBM and VMware have expanded their relationship, with IBM Consulting now a VMware Global System Integrator (GSI), enabling the two companies to deliver new jointly developed solutions that help clients in regulated industries achieve their multi-cloud goals while reducing complexity and risk. A prime result of this collaboration is IBM Cloud for VMware Solutions.
IBM combines technology with industry expertise to help Oil & Gas clients digitally reinvent their businesses for resilience and sustainability. Pioneering advances in materials science from IBM Research accelerate energy transition. Data science and AI take the guesswork out of exploration. Predictive asset management raises production throughput. Supply chain insights and blockchain build trust and transparency across the downstream ecosystem. Customer experience experts reshape consumer connections at the gas pump or electric charge station. Through these solutions IBM helps Oil & Gas clients emerge smarter. For further information visit: -gas.
Other logistics fields still have work to do when it comes to solving the data inconsistency issue, which is leading many young startups to focus on creating predictive and advanced analytics platforms as a solution. These logistics startups are helping bigger companies to cleanse and digitize their data, allowing them to then use that data for advanced analytics and predictive optimization. This includes better supply chain visibility, demand forecasting, proactive linehaul planning, predictive maintenance, unexpected conditions detection, and last-mile delivery improvements. When data is standardized and digitized across the logistics industry, all companies will be able to benefit in a massive way. 2ff7e9595c
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