Pick the right Oracle solutions for the right business problem

Whether you’re an existing customer or looking at greenfield opportunities, Oracle solutions can be a little overwhelming when you’re trying to pick the best business application for the job.

As an Oracle Cloud Managed Service Provider (MSP) with a deep and long history of implementing Oracle solutions for our customers, we’ve found the best way to pick the right product is to define the problem and your business objectives. From there, you can align it with the best Oracle offering. It’s still a big job, so we’ve put together a little guide to help customers get started, whether you’re eyeing new computing infrastructure or business applications.

Make Better Business Decisions

If your goal is to improve productivity for users and scale up your business to be more competitive while reducing costs, you’ll want to start with Oracle Cloud.

Moving to a subscription model automatically lowers your costs because for a monthly payment you have access to a wealth of infrastructure that would have otherwise required a great deal of upfront investment on your part. Not only you do you save money on hardware, but you immediately have more business flexibility. Managed Oracle IaaS enables you to move all your business applications to the cloud, which minimizes the disruption that usually comes with on-premise system upgrades or software changes.

Oracle also offers a great deal of business applications you can run in the cloud. If your aim is to gain greater visibility and improve profitability, you should consider Oracle Business Intelligence, Oracle Supply Chain Management and Oracle E-Business Suite to drive smarter decisions through analytics, improve workflows and employee productivity.

Manage Data Better

Of course, you can’t make smarter decisions without the right information, so if you’re looking at corralling your data better, there are a few Oracle solutions that can help.

One the realities of today’s business is that you have multiple systems and applications that ideally should be using the same data—that’s where Oracle Middleware comes in. It can help you pull together files and datapoints to provide the single source of truth business applications need to deliver value. An Oracle Database, meanwhile, can help you harness customer information.

Business and applications need a strong IT backbone

Your mission critical data and business applications only deliver the most value when they have a solid foundation supporting them.

Oracle offers several hardware and infrastructure options that make sure data-driven business applications operate optimally while also helping you to streamline costs. Oracle Virtual Machine, for example, can help you reduce your overall compute costs. But if you want to not only improve your compute performance and maximize return-on-investment from your Oracle applications, you should consider an Oracle engineered system such as the Oracle Database Appliance, or Oracle Exadata, which provides even more power with less maintenance.

Pulling it all together

Whether it’s just a couple of Oracle solutions or a large combination of business applications and Oracle engineered systems, you can pull everything together with Oracle Enterprise Manager, which provides a single view of all your Oracle deployments in a central location.

The breadth and depth of Oracle solutions doesn’t have to be overwhelming. Whether you’re an existing customer or eyeing Oracle for the first time, an experienced technology partner can help you adopt and update your business applications so you can scale your business while reducing costs.

Fabio Gross in senior channel manager with Supra ITS. Learn more about Supra ITS’ status as an MSP with our handy FAQ.

There are many ways artificial intelligence (AI) and machine learning already impact cybersecurity. You can expect that trend to continue in 2024 – both as tools for data protection as well as a threat.

Balancing Cybersecurity Innovation Amid Evolving Threat Landscapes

Even as you implement AI and machine learning into your cybersecurity strategy through the adoption of tools like Security Orchestration, Automation, and Response (SOAR), Security Information and Event Management (SIEM) and Managed Detection and Response (MDR), so are threat actors. They will continue to update and evolve their own methodologies and tools to compromise their targets by applying AI and machine learning to how they use ransomware, malware and deepfakes.

With small and medium-sized businesses just much at risk as their large enterprise counterparts, SMBs must take advantage of AI and machine learning as mush possible. AI-directed attacks are expected to rise in 2024 in the form of deepfake technologies that make phishing and impersonation more effective, as well as evolving ransomware and malware.

Deepfake social engineering techniques

Deepfake technologies that leverage AI are especially worrisome, as they can create fake content that spurs employees and organizations to work against their best interests. Hackers can use deepfakes to create massive changes with serious financial consequences, including altering stock prices.

Deepfake social engineering techniques will only improve with the use of AI, increasing the likelihood of data breaches through unauthorized access to systems and more authentic looking phishing messages that are more personalized, and hence, more effective.

Countering Cyber Threats and Harnessing Innovation in 2024

If hackers are keen on leveraging AI and machine learning to defeat your cybersecurity, you must be ready to combat them in equal measure – just as AI and machine learning will create new challenges in 2024, they can also help you bolster your cybersecurity. While regulations are being developed to foster ethical use of AI, threat actors are not likely to follow them.

AI will also affect your cyber insurance as your providers will use it to assess your resilience against cyberattacks and adjust your premium payments accordingly. AI presents an opportunity for you to improve your cybersecurity to keep those insurance costs under control.

Conclusion

There’s a lot of doom being predicted around the growing use of AI and machine learning. And while it does pose a risk to your organization and its sensitive data, you can use it to bolster your cybersecurity even as threat actors leverage AI to up the ante. A managed service provider with a focus on security can help you use AI and machine learning to protect your organization as we head into 2024.

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