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C1000-010 IBM Operational Decision Manager Standard V8.9.1 Application Development

Exam ID : C1000-010

Exam Name : IBM Operational Decision Manager Standard V8.9.1 Application Development

Number of questions: 61

Number of questions to pass: 46

Time allowed: 90 mins

Status: Live



Development: Environment Set-up 8%

Install

Migrate


Development: Architecture 16%

Analyze business requirements

Plan the Architecture

Identify decisions, decision points, and business policies


Rule Designer 39%

Create Decision Service projects

Import the XOM

Create BOM and vocabulary

Add Decision Operations

Deploy RuleApp

Create Client Application

Create Ruleflow

Author rules and decision tables

Manage BOM update

Manage synchronization

Define and run queries


Decision Center 16%

Define Roles and Responsibilities

Secure Decision Center

Define decision governance framework

Set up Deployment from Decision Center

Enable and customize testing and simulations for business users

Understand branching and merging


Rule Execution Server 20%

Work with the RES REST API

Manage RuleApp and Ruleset Versioning policy

Integration

Use Decision Warehouse

Optimize Execution
IBM Operational Decision Manager Standard V8.9.1 Application Development
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Question #55 Section 1
What are the possible results of running a test suite?
A. Passed, Failed
B. Running, Done, Retrying
C. Active, Complete, Paused
D. Successful, Failure, Error
Answer: A
Reference:
https://www.ibm.com/support/knowledgecenter/en/SSBLQQ_9.2.0/com.ibm.rational.rit.ref.doc/topics/c_ritref_test_suite_details.html
Question #56 Section 1
Which artifact is a supported execution object model (XOM) source?
A. C# classes
B. .JS classes
C. Java classes
D. TypeScript classes
Answer: C
Question #57 Section 1
What is the resulting BPM class when the following Java XOM class is imported in the rule project?
A.
B.
C.
D.
Answer: C
Question #58 Section 1
What is one migration task a developer needs to perform when migrating a legacy business rules application to the latest version of the product?
A. Migrate existing TestSuite files.
B. Migrate the XOM to include business annotations.
C. Migrate existing B2X code from IRL to supported ARL.
D. Update existing web service client from JSON to XML.
Answer: C
Question #59 Section 1
When working on rules in both Rule Designer and Decision Center, what is good practice to ensure BOM consistency?
A. Deprecate obsolete classes and members.
B. Use the merge feature to align discrepancies.
C. Delete BOM classes and members in Rule Designer.
D. Only change arguments in the BOM in Rule Designer.
Answer: A
Question #60 Section 1
Which statement describes the primary role of a developer in the discovery and analysis phase of a project?
A. Developers develop rules to produce an initial ruleset and object model.
B. Developers do not participate in discovery and analysis tasks.
C. Developers review the rule design document to confirm that terms used in the rules match the execution object model.
D. Developers work with business analysts to identify decision points in the business models and document the decision points table.
Answer: D
Question #61 Section 1
A decision operation can be defined for a decision service in the Rule Designer. What can be selected in the process of creating a decision operation?
A. A ruleflow
B. A target server
C. A rule engine type
D. A dynamic domain
Answer: C
Reference:
https://www.ibm.com/support/knowledgecenter/en/SSQP76_8.6.0/com.ibm.odm.dserver.rules.designer.dev/rulesets_topics/ con_ds_dev_operations.html
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HIMSS Digest: Health-Care Moves From IBM, Cisco, Avaya And Others

Some of the most visible vendors in the channel brought significant announcements to the Healthcare Information and Management Systems Society (HIMSS) conference in Atlanta this week. Here's a look at major vendor newsmakers from the show.

Cisco Launches HealthPresence

Cisco earlier this weekend launched HealthPresence, a telemedicine platform that brings Cisco's Telepresence immersive video and collaboration technology into health care settings. In essence, HealthPresence is a combination of TelePresence and Cisco's unified communications portfolio, and includes vertical-specific tools like Cisco Vitals Software, a feature for physiological data capture and high-definition video streaming, and specialized medical equipment like an ear-nose-throat camera, a digital stethoscope and vital signs testers.

According to Cisco, HealthPresence is available immediately, was piloted by Cisco's Internet Business Solutions Group (IBSG), and is designed for both permanent facilities and mobile units.

Dr. Kaveh Safavi, vice president and global lead for the health-care practice at IBSG, said in an interview that HealthPresence isn't so much intended to be a catch all device as drive the collaboration agenda in the vertical.

"We're creating an alternative to an onsite clinic," he said. "You have doctors' offices in different locations, and this is as good as being there."

IBM Closes Acquisition of Initiate Systems

IBM earlier this week completed its acquisition of Initiate Systems, which develops data integrity software for health care organizations, insurance providers and the government. IBM's Dan Pelino, general manager of Big Blue's Healthcare and Life Sciences group, said the move would help expand IBM's health care expertise -- including what it can offer its healthcare channel -- and speaks to the ongoing consolidation of healthcare software companies.

"You're going to see a consolidation of EMR companies and a greater level of applications," Pelino said. "They're [Initiate] best in show according to Gartner -- the gold standard."

Pelino and Sean Cassidy, vice president of product management at Initiate, said there are no plans to disrupt any of Initiate's existing partnerships, which include agreements with IBM rivals like Oracle.

"It can be co-opetition," Pelino said.

"Almost to a partner, we've seen no negative reaction," Cassidy insisted. "We can collaborate, and it can be mutually beneficial for everyone."

Avaya Intros New UC Tools

Avaya debuted four new unified communications products at HIMSS: an updated version of its Mobile Device Checkout system for tracking mobile devices; a Nurse Call Response system that allows patients to reach nurses directly; Patient Admit Coordinator, a system that uses various messaging tools like e-mail and IM to notify individual departments about patients from an emergency room; and Patient Appointment Reminder, a patient notification system that sends automated messages to patients to remind them about appointments.

Sanjeev Gupta, general manager of Avaya's Healthcare Solutions group, told Channelweb.com that the new products are designed to advance mobility in the health care space and help organizations grapple with ongoing problems such as staff shortages.

"Most healthcare CMIOs spend a lot of time on process improvement, and many nurses spend a lot more time on care coordination than patient care," he said. "These are designed to relieve bottlenecks."

The new products will role out to the channel over the coming months, according to Avaya, with Mobile Device Checkout available now, Nurse Call Response and Patient Appointment Reminder arriving in June, and Patient Admit Coordinator ready by July.

Avaya's recent acquisition of Nortel's enterprise unit significantly ups the company's stake in health care. Gupta was formerly Nortel's general manager for healthcare solutions and was among executives who transitioned to Avaya following the acquisition.

Next: Health Care Releases From Symantec, Verizon, Microsoft And Oracle Microsoft Expands HealthVault

Microsoft at HIMSS launched HealthVault Community Connect, an extension of its HealthVault patient health record platform that's designed to unify disparate health IT systems and make patient data available for sharing between hospitals, patients and referring physicians. Patients can also view, store and share medical information on their own, and perform functions like pre-register for hospital visits.

"We're enabling the entire ecosystem to the continuum of care. Data that resides on disparate back-end systems is liberated, extracted out and then passed to the consumer," said Chris Sullivan, industry solutions director for Microsoft's U.S. Health and Life Sciences Group, in an interview. "We now have information that is flowing from the enterprise to the consumer in safe, private way."

Sullivan suggested the opportunities for Microsoft solution providers and app developers in health care would continue to grow as the push toward interoperable data systems creates need for rich applications.

Symantec Wants To Host

Symantec used HIMSS to unveil Symantec Health, a new service that enables healthcare providers to securely store, archive and share medical records. It's a hosted offering, consisting of Symantec Health Safe and Symantec Health Image Share.

The former component offers storage for medical images and also business analytics and business continuity features, and the latter enables healthcare facilities to share and download images between providers and hospital networks.

"Health IT executives continually cite the soaring costs associated with medical image storage as one of the biggest challenges they face," said Lori Wright, vice president and general manager of the Electronic Health Group at Symantec, in a statement. "Symantec's security and storage management expertise and its leading Software as a Service portfolio are key reasons why many healthcare industry leaders trust Symantec to deliver these new hosted offerings in a cost-effective and secure way."

Verizon Debuts New EHR Platform

Verizon on Wednesday introduced Verizon Medical Data Exchange, a platform the telecommunications giant says will accelerate adoption of electronic health records (EHR) by allowing healthcare organizations to share physician notes more easily. It uses a central directory to verify identities of both senders and recipients to make sure sensitive medical data reaches the right users, and transmits it over an encrypted platform.

"Pervasive sharing of patient information can save lives, but complex challenges have stood in the way of health IT solutions," said Peter Tippett, vice president, security solutions and enterprise innovation for Verizon Business, in a statement. "Digital record sharing among the entire health information ecosystem can help speed patient diagnoses while enabling health care organizations to operate more efficiently and cost-effectively."

Oracle Tees Up Analytics Tools

Oracle used HIMSS to debut a number of business analytics tools tailored to health care settings. Among them are Oracle Healthcare Data Warehouse Foundation, a database for healthcare analytics app developers, and Operating Room Analytics, a performance management application geared toward surgical services directors and nursing leaders to judge operating room efficiency. The goal with the applications and others like it is to spur app development in Oracle's health care partner ecosystem, the company explained.

"It is critical for healthcare providers to have key business information such as daily volumes, financial indicators, productivity variances, service line metrics, and revenue cycle performance at their fingertips," said Roy Mathews, CEO of Oracle partner Anthem Healthcare Intelligence, in a statement. "However, enterprise performance dashboards become meaningful only when founded on a credible, comprehensive data warehouse. Because it is designed specifically for healthcare providers, we see tremendous value in Oracle's new enterprise healthcare analytics and its ability to help providers vastly Improve their overall productivity and Improve quality of care."

Oracle further announced an update, version 6.1, of its Oracle Healthcare Transaction Base, a data repository for use with administrative, clinical and financial health-care data. The 6.1 release adds new Web services support, and according to Oracle, now supports more than 10 million patient records around the world.

Sat, 16 Dec 2023 15:40:00 -0600 text/html https://www.crn.com/news/storage/223101438/himss-digest-health-care-moves-from-ibm-cisco-avaya-and-others
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VAR500 Solution Providers In The News

North America's largest revenue-generating solution providers are making headlines by signing deals with European banks, implementing health-care management solutions, publishing e-books on cloud computing and more. Here's what's happening at VAR500 companies, including IBM Global Services, HP Services, DLT Solutions, CIBER, Capgemini and PC Connection.

IBM Global Services Wins Deal With Ukrainian Bank

IBM Global Services is the beneficiary of a $200 million outsourcing deal with a Ukraine bank. As part of the 10-year agreement, IBM will be responsible for the development and support of PJSC Ukrsotsbank's information systems and applications as well as the management of the bank's IT infrastructure. Through its partnership with solution provider IBM, the bank is aiming to Improve customer service, increase performance efficiency and lower operational risk across its country-wide network of nearly 400 branches.

HP Focuses On Health Care

In an effort to provide better health services to patients, HP will integrate Central Logic Core, a Web-based bed management system, into its HP Z600 Workstations. The move is aimed at helping hospitals Improve patient care, increase hospital efficiency and reduce costs. Hospital staff can replace their whiteboards with this HP touchscreen technology solution to more easily manage patient case processing and bed capacity optimization. Central Logic's software will be sold exclusively on HP hardware through HP Healthcare Specialist Partners and distributors such as Ingram-Micro.

CIBER Vet To Head Its Oracle Practice

IT solution provider CIBER, an Oracle partner for more than 20 years, has tapped its 16-year veteran, Mike Dillon, to lead its North America Oracle Practice, and Garth Carter, the head of CIBER's public sector and higher education segment, to lead Oracle sales for the company. CIBER's Oracle practice helps commercial businesses, government and higher education institutions implement, upgrade and maintain Oracle's entire application and technology suite. Scott Jostes, CIBER's previous Oracle Practice leader, is a former Oracle employee with more than 20 years of IT experience. He will lead expansion of CIBER's Oracle commercial business, working with Dillon and Carter.

DLT Offers eBook On Cloud Computing

DLT Solutions has published an eBook titled ’Cloud Computing for Govies,’ which provides government agencies with detailed information on the different types of cloud computing solutions available and how they differ, in relation to the unique needs of public sector IT environments. Included are tips to help public sector IT professionals navigate current mandates, available solutions and the best options for government cloud environments.

Capgemini Debuts Digital Microcredit Platform

Capgemini and its subsidiary Sogeti are launching a digital microcredit platform in partnership with MicroWorld. MicroWorld enables individuals and companies to lend small sums of money to finance micro-entrepreneurs who are unable to access traditional banking services. Capgemini, Sogeti and MicroWorld have collaborated to design a digital platform that, according to the companies, for the first time, links micro-entrepreneurs with micro-lenders within companies. The microcredit platform enables sums of money from as little as 20 euros [about $26.50] to be given as interest-free loans to micro-entrepreneurs worldwide. Each lender is able to measure the real impact their loan is making at any time during the term of the loan. Once the loan has been repaid, lenders can either withdraw their money or reinvest it in other projects.

PC Connection Executive Moves

Joseph S. Driscoll is joining VAR500 IT solution provider PC Connection as senior vice president, treasurer, and chief financial officer, and will report to Timothy McGrath, president and chief executive officer. His appointment will become effective early next month. Driscoll is replacing the retiring Jack L. Ferguson. From 2006-2012, Driscoll served as Chief Financial Officer of Summer Infant, a manufacturer and supplier of infant and toddler-related products.

Wed, 08 Feb 2012 01:16:00 -0600 text/html https://www.crn.com/slide-shows/channel-programs/232600509/var500-ibm-strikes-deal-with-ukraine-bank-hp-bolsters-health-care-practice
Embracing AI and cyber resiliency: IBM enhances its portfolio as storage moves into the enterprise spotlight

Speeds and feeds in the storage market are so 2020. Now the conversation is all about data security and how storage can enable artificial intelligence to drive business results.

This was one of the key messages that emerged from two major events hosted by theCUBE, SiliconANGLE Media’s livestreaming studio, and IBM Corp. in July and October. Executives from IBM, company partners and industry experts appeared on the programs to share their insights into how the world of storage has undergone its own transformation.

“Although storage has presented itself mainly as a background service, it’s becoming more and more forefront in the consideration for what an appropriate data strategy needs to look like,” said Scott Baker, chief marketing officer and vice president of IBM Infrastructure Portfolio product marketing at IBM. “The future of storage is expected to be characterized by the extensive use of AI to unlock data value and provide a solid foundation for businesses to anticipate and withstand market shifts.”

Baker spoke to theCUBE in July during the IBM Storage Summit, an exclusive broadcast on theCUBE that focused on new capabilities for data and AI. In October, theCUBE offered a second exclusive broadcast, “Beyond Firewalls: Resilience Strategies for All,” that featured interviews with IBM executives and partners to discuss how storage now plays an important role in strengthening cyber resilience against data attacks. (* Disclosure below.)

Shifting workloads for the right data, in the right place

The influence of AI in storage gained significant momentum in 2023 as organizations pursued uses for the technology in several operational areas. IBM noticed a shift in workloads among its customers that required a different approach to the challenge of scale and management of data flows through the information supply chain.

“We’ve started to see changes in workloads from media and entertainment, healthcare, life sciences [and] financial services sectors,” said Christopher Maestas, worldwide executive solutions architect at IBM, in an interview during the Storage Summit in July. “AI really has changed it, because it picked the middle of the road — not the itty-bitty files that you see or the large streaming data that you’ve been doing. We’re really seeing that data size change and, again, having to adapt to a different data size that we’ve not traditionally handled in the past.”

To accommodate shifting changes in data size driven by AI, IBM launched several new initiatives for its storage portfolio. These included introduction of the IBM Storage Scale 6000, scale-out storage for file and object that’s targeted at unstructured data and AI and machine learning workloads.

The enhancements to IBM’s Storage Scale platform highlighted the company’s focus on compression, an ability to shrink the size of stored data. Compression can maximize storage capacity, Improve the speed of file transfers and lower overall costs. Updates to Storage Scale System 6000 included inline hardware accelerated data compression using 38TB Flash Core Modular drives.

“Compression is a huge concept in storage, said Sarbjeet Johal, guest analyst, during a panel discussion on theCUBE’s broadcast in July. “How much you can compress and where we are storing it, that also matters. We still have a long way to go to bring intelligence into storage, because we are storing a lot more data.”

IBM also enhanced its Storage Fusion offering, a data services solution that integrates compute, storage and networking into a hyperconverged system. The objective was to eliminate frustration among data scientists who were bogged down by endless searches for the right information, according to Pete Brey, global product executive, IBM Storage Fusion.

“We have unique capabilities in terms of being able to catalog and label and tag the data so it’s quickly and easily found,” said Brey, during an interview on theCUBE. “The number one problem for the data scientists today is not how long my inferencing takes or not how long it takes to do model training; can I get to the right data quickly? Some of the estimates are like 80% to 90% of their time is spent just trying to find the right data, and that’s the problem that we solve.”

IBM’s work with Storage Fusion also offers insight into its integration with the cloud-native world and Red Hat Inc. A combination of Storage Fusion with Red Hat OpenShift has created a comprehensive platform that can support both Kubernetes applications and virtual machines.

“We work very closely with our friends at Red Hat … they have a technology called OpenShift Virtualization based on KubeVirt,” Brey noted. “Customers bringing these VMs over want to be able to co-host not just the containers, but also the VMs together and have a single substrate to support it all. That’s really what Fusion is all about.”

Rising data breach costs

IBM’s storage architecture has also been designed with cybersecurity in mind, an important element given the speed and preponderance of attacks plaguing businesses today. While IBM built elements into its FlashCore Modules that can detect threats, adoption of AI has complicated the picture for security operations teams.

“Just like we have access to AI to help with detection, the bad guys have access to the same AI to help cause attacks faster,” said Ram Parasuraman, executive director of IBM, during an interview with theCUBE in October. “It’s about how you use and harness the tools. There’s research from IBM that states what used to take attackers 60 days to cause these attacks today take less than four days.”

Part of IBM’s message is that cyber vulnerability comes at a cost. The company’s annual “Cost of a Data Breach” study pegged the average financial hit from a breach globally at approximately $4.5 million per incident. This is where AI could make a significant difference, according to Jeff Crume, distinguished engineer, cybersecurity architect and chief technology officer of IBM Security Americas, in his appearance on theCUBE in October.

“One thing that came from that report is that the most significant way to cut the cost of a data breach was organizations who had an extensive use of AI and automation,” Crume said. “They saved on average $1.76 million off that $4.5 million. That was the most significant way to cut the cost of that data breach.”

While IBM’s customers have invested in perimeter defenses, many of them have also turned to the company for guidance in data resilience, driven by the harsh reality that breaches have become inevitable. IBM’s executives noted throughout their discussions on theCUBE that the process for protection is a journey to be followed one step at a time.

“You can take baby steps — cybersecurity [and] data resilience is not about an on/off switch,” said Del Hoobler, principal storage software advanced technology specialist at IBM, during the broadcast event in October. “It’s a spectrum, from very weak to very strong. You never can be perfectly data resilient. The most important thing is to get started.”

(* Disclosure: TheCUBE is a paid media partner for the IBM Storage Summit and the “Beyond Firewalls: Resilience Strategies for All” event. Neither IBM Corp., the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

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Is Our Critical Infrastructure Ready For AI?

From individuals using ChatGPT for fun or function to enterprises applying artificial intelligence (AI) to automate tasks, the use of AI tools has exploded over the last few years. AI tools are becoming commonplace in today’s business.

According to IBM, 43% of CEOs are using AI to inform strategic decisions, and 75% of CEOs believe having the most advanced generative AI is the key to success.

The possibilities offered by AI are staggering, with almost limitless global potential. But to achieve that promise, operators of critical enterprise and government infrastructure, like transit systems, hospitals, and financial institutions, need to start with the right technology foundation.

The limitless potential of AI

Commercialization of AI has made massive leaps forward in recent years and 2024 stands to mark another year of advancement. At the same time, innovations in quantum computing and digital twins for industrial environments are closely coupled with applications of AI. Together, these technologies are poised to help industries achieve unprecedented levels of productivity. AI alone is expected to support the creation of 97 million jobs by 2025 and contribute upwards of $4.4 trillion to the world economy every year. Goldman Sachs estimates that AI could raise the global GDP by 7% over the next decade.

Many of these gains will come from increased efficiency through the mainstream application of predictive analytics and other operational optimizations. It is claimed that AI could augment or automate up to 70% of work tasks. That could boost overall productivity by up to 3.3% and give workers time to focus on higher-value, more strategic growth tasks. But it’s not all about automation. AI can also support critical thinking and problem-solving, offering value to nearly every industry.

All of these capabilities help businesses do more with less, which is critical in the face of an aging workforce.

AI needs a strong technical foundation

As exciting as the potential of AI is, enterprises and governments need to consider what’s required to maximize the benefits, and start taking steps now to put those critical foundations in place.

Data is at the heart of AI. Processing massive lakes of relevant data requires significant compute resources. As the use of AI expands, so do the data lakes demanding more and more computing power across distributed (edge) and central locations, and relying on routing, transport, and data center infrastructures and architectures that can perform flawlessly and efficiently.

As my colleague Hardik Gohil explained in a recent interview, this often involves multiple Data Processing Units (DPUs), Central Processing Units (CPUs), and Graphics Processing Units (GPUs) all working together to process data and transfer it across workflows and between sites. Transferring data alone accounts for 25% of processing time. That means “networks must be efficient, lossless and have higher capacity because any bottleneck in a sub-optimal network would lead to a substantial impact on job completion time.” The bottom line is... your AI objectives may not be met otherwise.

Key elements of AI infrastructure that need to be in place to support your business applications integrated with AI in the future include:

  • Computational power and accelerators – Massive amounts of data gathered from your operations (IoT data, performance data, and more) coupled and interpreted to make intelligent AI decisions require massive computing power.
  • Scalable data storage and management – Data systems and storage must be able to expand rapidly as data demands grow and as data is harvested for decision-making.
  • Cloud computing platforms – These systems offer access to virtually limitless data resources for training AI models, analyzing huge data sets, and extracting actionable insights.
  • Fast, reliable network infrastructure, especially for cloud services – Cloud services depend on the ability to move data quickly, securely, and reliably. Modernized routing and optical transport networks deliver the capacity and performance needed to support the AI era.
  • Data security and integrity systems, including robust protocols and governance frameworks – With more data in use and transit, it’s more important than ever to keep it safe and look to quantum-safe security to help future-proof data integrity.
  • APIs and integration with existing systems – Introducing AI doesn’t mean replacing every system and component, so interoperability and compatibility with existing systems is a must.
  • Monitoring and automation tools for system maintenance – As system complexity grows, it’s vital to automate monitoring and issues handling to ensure everything is running at the right performance levels.
  • Compliance – Companies must ensure they remain fully in compliance with laws and regulations governing IT systems, data handling, and more.
  • Scalability – Systems must be flexible to accommodate continuously growing and shifting application, bandwidth and performance requirements.
  • Expertise and training – Continually evolving technology requires ongoing upskilling and reskilling. Choosing trusted partners and experts who are knowledgeable on AI, your operations and their unique challenges, as well as the foundational technology elements can accelerate your AI journey.

What well-implemented AI could look like

Enterprises and governments will need to make necessary investments to build the right foundations. With those elements in place, AI can help make our businesses and communities more productive and efficient.

Power utilities can integrate AI into their operational systems that intelligently shift electricity resources to better meet demand and detect anomalies in the grid before they become outages. AI tools can help better predict potential service-effecting scenarios to proactively avoid or minimize service disruptions. AI-enabled systems also can optimize the grid for maximum efficiency and sustainability.

In the finance and banking sectors, AI-enabled operations can Improve transaction security, deliver advanced fraud protection, enhance analytics and forecasting, upgrade customer service, and boost regulatory compliance.

The healthcare industry is responsible for about 30% of the data generated worldwide, creating an opportunity to use AI to Improve patient care, advance medical research, and optimize operations for efficiency, all while preserving the security of patient data.

Transportation operations like railways, aviation and logistics companies can use AI to make more accurate weather predictions so they can plan accordingly, Improve capacity planning, and optimize routing to get people and goods to where they need to be faster and more efficiently.

Governments and first response teams can use AI paired with advanced sensing technologies to better predict and handle climate change impacts like forest fires, floods and other natural disasters. With training augmented by AI and industrial metaverse simulations, as well as enhanced situational awareness tools, agencies can respond more effectively and save more lives.

It’s time to build the foundations

The usefulness of AI depends on speed, capacity and intelligence to process mass amounts of data from various sources and meet substantial real-time data transfer requirements. It will take network infrastructure that’s resilient and robust and provides fast, low-latency connectivity, along with cloud systems that are automated, open and flexible. Indeed, each of these business-critical, mission-critical and society-critical outcomes are heavily network-dependent, and rely on a robust, performant and secure underlying network infrastructure that includes data centers as well as the routers and optical transmission equipment that seamlessly interconnects them.

With these foundations in place, AI can live up to its limitless potential, improving operations and productivity exponentially. It can enhance business operations, deliver the optimized augmented work environments we envision, and help us solve some of society’s most difficult challenges. The potential is clear, and now is the time to modernize the network infrastructure that will accelerate the future.

Wed, 03 Jan 2024 03:50:00 -0600 Houman Modarres en text/html https://www.forbes.com/sites/nokia-industry-40/2024/01/03/is-our-critical-infrastructure-ready-for-ai/
IBM: the five trends in AI for 2024
IBM unveils five trends for AI it predicts will shape businesses in 2024.

What AI trends will mark out 2024? (Image generated by AI).

  • IBM unveils five AI trends it predicts will shape businesses in 2024.
  • One of the biggest AI trends is that people who use AI will replace people who don’t. 
  • IBM also predicts that AI will have up to 3.5 times more exponential growth by 2025.

AI has dominated all tech conversations in 2023 for businesses all over the world. Today, there is not a single industry in which AI is unable to make a difference. From financial services to healthcare to tourism, AI is quickly becoming part of business plans and strategies for organizations as they plot out their future growth.

According to a report by IDC, spending on AI in the Asia Pacific region alone is expected to grow to US$78.4 billion by 2027. The increase in AI spending reflects a shift toward leveraging cutting-edge technology to reimagine operations, Improve customer experiences, and maintain a competitive edge in a rapidly changing market. IDC forecasts a compound annual growth rate (CAGR) of 25.5% for the period 2022-2027.

For companies like IBM, the focus in 2024 will be on helping businesses make the most of their AI adoption and transformation. IBM predicts that AI will have up to 3.5 times more exponential growth by 2025. To achieve this, there are five trends the tech giant believes will make a difference to organizations in 2024.

Five trends of AI in 2024.

AI will continue to be the main subject of discussion for enterprises in 2024.

The five AI trends of 2024

 The first of the AI trends IBM sees coming in 2024 will be the shift organizations make from “plus AI” to “AI plus.” For IBM, AI plus simply means designing for AI first, and not as an afterthought. IBM’s survey said that three out of four CEOs believe competitive advantage depends on who has the most advanced generative AI.

Yet, across organizations, more than 60% are still not yet developing a consistent, enterprise-wide approach to generative AI—an essential step in responsible, trustworthy AI plus. IBM’s research shows that two out of three CEOs are acting without a clear view of how to help their workforce with the disruption and inevitable change that AI brings. And fewer than one in three CEOs have conducted an assessment on the potential impact of generative AI on their workforce. That means they probably don’t know what to tell their staff.

“To lead with responsible AI, executives and their organizations need to lead with the best of what makes us human: wisdom, ethics, and care for their stakeholders,” said Catherine Lian, managing director and technology leader for IBM Malaysia.

The second of IBM’s AI trends for 2024 is that people who use AI will replace those who don’t.

While the general idea many have is that AI will replace the workforce, the reality is that employees will be replaced not by technology but by those who know how to use the technology best.

For example, in most organizations, human resource functions are normally the pioneer when it comes to AI utilization. Employees who do not know how to work with these technologies will simply be replaced by those who can. And those that can are employees who have reskilled themselves.

“Successful AI adoption depends on teams welcoming new AI tools and applications. CEOs estimate that 40% of their workforce needs to reskill as they implement AI and automation over the next three years. Right now, with limited foresight, 87% of CEOs expect job roles to be augmented rather than replaced by generative AI. Workers must trust their new AI counterparts for success,” explained Lian.

People who use AI will replace those who don’t in 2024.

People who use AI will replace those who don’t in 2024. (Image generated by AI).

The third trend is all about the data conversation moving out of IT and into the C-Suite. C-level executives want to understand how to use data to provide better customer experience and build a business that is tech-efficient. But there are challenges to this, especially when it comes to data security.

47% of CEOs understand that more technology increases the risk to an organization’s cybersecurity. That means the budget for cybersecurity investments is most likely to increase, with a focus on data security for AI.

“Trusting your data is more important than ever, but not just the integrity of the data itself. You also need to be able to trust that all the data crossing your virtual transom is secure and protected. Organizations that are able to monetize their large stores of trusted, high-quality data realize almost double the ROI from their AI capabilities than their peers. With these returns at risk, it’s no surprise that in 2024, data is no longer just a technology concern; it’s a business imperative with massive strategic significance,” added Lian.

The next trend in AI is to have operating models that bend so they don’t break. Building an operating model that flexes with the times, training AI models to cull patterns from unstructured external data, and incorporating internal patterns and organizational management principles allows businesses to weather shocks and respond in almost real-time. 2024 will see generative AI-enabled dashboards become even more sophisticated, enabling visibility and responsiveness to the ever-growing array of shocks.

The final trend is understanding that ecosystems are not part of the strategy, but are the strategy. As enterprises build trust with their customers, ecosystems can help or hurt. In 2024, ecosystems finally evolve from a collection of separate entities banding together to achieve separate but aligned goals. participation in ecosystems.

Open innovation is tied to revenue growth. The name of the ecosystem game is open innovation. Revenue growth among open innovation leaders is already 59% higher than peers. Yet for open innovation to prosper, data must flow freely and securely across the ecosystem.

“As leaders navigate challenges and brace for future uncertainties, they must proactively tackle these five trends set to define the business landscape in 2024 and beyond, leaning on trust to succeed,” said Lian.

As enterprises build trust with their customers, ecosystems can help - or hurt.

As enterprises build trust with their customers, ecosystems can help – or hurt (Image generated by AI).

AI in Malaysia in 2024

Lian also spoke about the prospects of generative AI for Malaysian businesses in 2024. Currently, the main industries focused on AI investments in Malaysia are the banks, telco and aviation industries. However, Lian pointed out that other industries including government agencies are actively looking at how AI can help them Improve their products and services.

While there are other tech vendors also providing generative AI services, Lian highlighted that IBM’s generative AI is focused on the watsonx AI platform. Launched at IBM’s Think event earlier this year, the watsonx AI platform includes three core components and a set of AI assistants designed to help organizations scale and accelerate the impact of AI with trusted data across their business.

The core components include a studio for new foundation models, generative AI and machine learning; a fit-for-purpose data store built on an open data lakehouse architecture; and a toolkit, to accelerate AI workflows that are built with responsibility, transparency and explainability.

“We are consistent in our strategy to make sure the data mining and data models are collated. If companies are worried about cybersecurity when investing in generative AI, IBM will be the answer. We are targeted towards enterprises that are concerned about data management and generative AI strategy,” explained Lian.

When asked about Malaysia’s Digital ID, which is expected to be implemented in the second half of 2024, Lian stated she hoped that IBM would have a part to play in its development, especially on the data management side of the program.







Tue, 19 Dec 2023 11:01:00 -0600 Aaron Raj en-US text/html https://techwireasia.com/12/2023/what-are-the-five-defining-trends-in-ai-for-2024-according-toibm/




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