It’s time to
Leverage AI
We have moved from saying that “AI is coming” to “AI is here and now.” AI is a cataclysmic shift that is causing not just IT in organizations but also the CIO, the CTO, and the CEO to rethink their business, urgently asking themselves: Is there a way that we can leverage AI? How do we use AI? How do we get there?
AI requires leveraging existing data stores and analytics that need to connect into a deep learning workflow. Understanding this, IBM has focused on those aspects that cause businesses to spend inordinate amounts of time building an AI environment, which, first and foremost, is about preparing the data.
The Foundation for AI Infrastructure
The Foundation for AI Infrastructure
A Better Data Lake
While businesses can evaluate whether the Power AC922 should become the heart of their AI infrastructure deployment, they need to keep in mind that the foundation of this environment should be a better data lake, one that is suited for AI services running on top of it. To achieve this better data lake, they need to consider five critical aspects:
- An AI era data architecture
- High-performance servers powering fast and enterprise-grade Hadoop and Spark
- Scale-out storage that is integrated, compatible, and enterprise ready
- Better and easier data management compared with current practices
- Support for multiple data platforms — schemas and architectures
The first challenge
Bringing AI into your business
For today’s businesses the first challenge is to bring AI into the organization in a planned, streamlined fashion. A few years ago, haphazard experimentation with AI was the order of the day and generally accepted as necessary, albeit at a price. Today, that scenario is avoidable.
There are various solutions in the market to implement a coherent, efficient, and functioning AI road map for the enterprise. As such, AI is shifting from being a challenge to becoming an opportunity for the business.
There are still hurdles, of course, not in the least with attracting professional AI data scientists, but in terms of preparing the data and building the right infrastructure, no business needs to reinvent the wheel anymore.
Why choose us?
We’re ready to talk when you are. Leverage our heritage and discover why our longevity, knowledge and ability to solution manage for our clients is second to none.
Our customers
We work closely with our customers across multiple business cycles to ensure they get the best business outcome from their investments in digital platforms, data and IoT as their digital strategy evolves. We see ourselves as a business partner in the fullest sense of the term.
Our experience
With a solid market perspective, over 20 years’ experience in delivering IBM state-of-the-art enterprise solutions, we can support businesses to turn their ambitions into reality. Whether you’re looking to enhance your current IT infrastructure or adopt new digital capabilities, Maple has the experience and know-how to help.
From the Mouth of the client
‘Ok’, is not ok
Maple’s depth of knowledge and skills around OS/400 and our system allowed our migration to the latest Power system happen far quicker than we thought.IT Global iSeries Lead | International Bank
They deliver commercial knowledge that is unprecedented and, because of that, they have become a key part of our team.Leading Insurance PLC | CIO
The Maple Blueprint
Please select a leaf segment to discover more about the services Maple offers.
1. Infrastructure
Services
- IBM Power - IBM i, Storage, IBM AIX Physical & IAAS/cloud
- After warranty Maintenance & Software Licensing optimisation
- On demand and on premise compute with multi cloud
- HP or Lenovo compute and storage
- NetApp Storage
2. Cyber
Services
- Network security and AI driven threat protection
- Managed Security and Soc
- Fraud Detection and prevention
3. Cognitive
Services
- Enterprise A.I
- A.I optimised Platforms
- Service Now
- A.I and Machine Learning at Scale
- Business analytics
4. Data
Services
- Cloud replication & backup to the cloud
- Disaster Recovery
- High Availability
- Cloud Orchestration
- Automated data protection
5. Managed
Services
- iSeries remote management
- Rapid Access
- IAAS/PAAS
- Storage management
- Systems management